Rahul Vigneswaran

portfolio. Welcome to my portfolio repository! This open-source project, built with Next.js and TypeScript, creates a dynamic and responsive portfolio. Explore the code to perfect your showcase of skills!

llmdict. A reference to contemporary LLM vocabulary

TREK. A self-hosted travel/trip planner with real-time collaboration, interactive maps, PWA support, SSO, budgets, packing lists, and more.

maptoposter. Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.

claude-code-copilot. Use Claude Code for free via GitHub Copilot — local proxy that translates Anthropic API to Copilot API

blink-eye. A minimalist Eye Care & Break Reminder app for Windows, macOS, and Linux. Prevents eye strain, RSI, and CVS with customizable timers, full-screen break notifications, Daily Usage analytics, and built-in TODO functionality. Your digital wellness companion for healthier productivity.

research-paper-planner. A web-based questionnaire tool that helps researchers structure and plan their scientific papers. Perfect for academics and researchers looking to improve their paper writing process.

langfuse. 🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

ollama. Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Awasome-Data-Free-ViT-Pruning. Data-Free-ViT-Pruning

Deep-Compression-PyTorch. PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

paaas. PlayStation controller authentication as a service

tkasarla.github.io. Academic webpage of Tejaswi Kasarla. Currently a PhD Student at University of Amsterdam

battery. CLI/GUI for managing the battery charging status for Apple silicon (M1, M2, M3) Macs

WaffleCLIP. Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

machine-unlearning. Python

al-folio. A beautiful, simple, clean, and responsive Jekyll theme for academics

next-mdx-blog. Next.js + MDX blog template with Tailwind CSS and TypeScript.

chronark.com. MDX

lmms. Cross-platform music production software

semanticscholar. Unofficial Python client library for Semantic Scholar APIs.

hyperbolic-image-embeddings. Supplementary code for the paper "Hyperbolic Image Embeddings".

SonyHeadphonesClient. A {Windows, macOS, Linux} client recreating the functionality of the Sony Headphones app

Personal-Site-Gourav.io. My personal site & blog made with NextJS, Typescript, Tailwind CSS, MDX, Notion as CMS. Deployed on Vercel : https://gourav.io

diffusion. Python

pyllama. LLaMA: Open and Efficient Foundation Language Models

llama. Inference code for Llama models

dalai. The simplest way to run LLaMA on your local machine

alpaca-lora. Instruct-tune LLaMA on consumer hardware

coverlettergpt. Generate Cover Letters based on Job Description and your Resumé. Manage jobs and applications. Get Hired. Have fun. Be cool. Go to School.

autodoc. Experimental toolkit for auto-generating codebase documentation using LLMs

R2Gen. Python

prompts.chat. f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Attend-and-Excite. Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

imagenetx. understanding model mistakes with human annotations

instruct-pix2pix. Python

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

ddpm-torch. Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

v-diffusion-torch. PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance

DiT. Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

TailCalibX. Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

awesome-machine-unlearning. Awesome Machine Unlearning (A Survey of Machine Unlearning)

examples. Deep Learning Examples

notion_widgets. A set of HTML widgets that could be embedded into Notion.so https://www.notion.so/ pages. For more see https://blog.shorouk.dev/notion-widgets-gallery/

longtail-buzz. 🐝 Explore Trending Long-Tail Papers at CVPR and ICCV

jekyll-theme-material-you. A Jekyll theme for Material You Lovers

image_bbox_slicer. This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code, one can slice images and their bounding box annotations into smaller tiles, both into specific sizes and into any arbitrary number of equal parts. The tool also supports resizing of images and their bounding box annotations, both by specific sizes and by a resizing/scaling factor.

PyRival. ⚡ Competitive Programming Library

tueplots. Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

sioyek. Sioyek is a PDF viewer with a focus on textbooks and research papers

Generalized-Long-Tailed-Benchmarks.pytorch. [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.

GPU-Puzzles. Solve puzzles. Learn CUDA.

ml-fct. Research publication code for "Forward Compatible Training for Large-Scale Embedding Retrieval Systems", CVPR 2022, and "FastFill: Efficient Compatible Model Update", ICLR 2023

LTR-weight-balancing. CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197

natural-adv-examples. A Harder ImageNet Test Set (CVPR 2021)

multi-domain-imbalance. [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

composer. Supercharge Your Model Training

imbalanced-regression. [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

medical-data.

salary-negotiation-tech. Articles and posts on salary negotiation for devs/nerds/software engineers/tech people.

dm-haiku. JAX-based neural network library

LeetHub. Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository

ivy. Convert Machine Learning Code Between Frameworks

Lottery-Ticket-Hypothesis-in-Pytorch. This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

CV_LTH_Pre-training. [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

scenic. Scenic: A Jax Library for Computer Vision Research and Beyond

annotated_latex_equations. Examples of how to create colorful, annotated equations in Latex using Tikz.

recruiter-autoresponse. Based on the Medium Article entitled - "Career Advice Nobody Gave Me: Never ignore a recruiter" this repo has a copyable script which you can use to auto-respond to recruiters.

BagofTricks-LT. A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results

bolei_awesome_posters. CVPR and NeurIPS poster examples and templates

lightly. A python library for self-supervised learning on images.

mmaction2. OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

nn-template. Generic template to bootstrap your PyTorch project.

ffcv. FFCV: Fast Forward Computer Vision (and other ML workloads!)

deep-learning-project-template. Pytorch Lightning code guideline for conferences

OTCE_Transferability_CVPR21. A demo code of "OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations" published in CVPR2021

LogME. Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

LibFewShot. [TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

generate_life_calendar. Generate a personalized life calendar poster

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Awesome-Novel-Class-Discovery. A list of papers that studies Novel Class Discovery

imbalanceCXR. Python

nas-robustness. Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"

PyCIL. PyCIL: A Python Toolbox for Class-Incremental Learning

TensorHive. Tool for managing exclusive GPU access for distributed machine learning workloads

torchdistill. A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

awesome_OpenSetRecognition_list. A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

LeetCode-Solutions. 🏋️ Python / Modern C++ Solutions of All 4003 LeetCode Problems (Weekly Update)

Leetcode_company_frequency. Collection of leetcode company tag problems. Periodically updating.

you-cant-download-this-image. Downloading images from the web is as easy as right clicking them and selecting "Save image as..", right? Well, not anymore xD

awesome-long-tail-learning.

Manim-Tutorial. A tutorial for manim, a mathematical animation engine made by 3b1b

hugo-theme-learn. Porting Grav Learn theme to Hugo

matplotlib-tutorial. Matplotlib tutorial for beginner

cheatsheets. Official Matplotlib cheat sheets

matplotlib-cheatsheet. Matplotlib 3.1 cheat sheet.

scientific-visualization-book. An open access book on scientific visualization using python and matplotlib

longtail-buzz-forked. 🐝 Explore Trending Papers at CVPR

AutoEq. Automatic headphone equalization from frequency responses

SCNeRF. [ICCV21] Self-Calibrating Neural Radiance Fields

continual-learning-papers. Continual Learning papers list, curated by ContinualAI

SketchGraphs. A dataset of 15 million CAD sketches with geometric constraint graphs.

ml-visuals. 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

lightning-hydra-template. PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

AIMLInterviews. This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

pytorch-template. PyTorch deep learning projects made easy.

TransfusionReproducibilityChallenge. This is our team's code for the 2019 NeurIPS Reproducibility Challenge. We replicated a subset of results from "Transfusion: Understanding Transfer Learning for Medical Imaging" by Raghu et al. . This repo contains pytorch-lightning implementations of ResNet50 and InceptionV3 trainers for the Kaggle Diabetic Retinopathy Challenge dataset, with easy transfer learning. All hyperparameters are assigned according to the original paper https://arxiv.org/pdf/1902.07208.pdf

SSL_PointClouds. Python

nerf_pl. NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

MML-Companion. This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

VMLS-Companions. These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

manifold_mixup. Code for reproducing Manifold Mixup results (ICML 2019)

torch-dreams. Flexible Feature visualization on PyTorch, for research and art :mag_right: :computer: :brain: :art:

EffectivePyTorch. PyTorch tutorials and best practices.

DataLoaders.jl. A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

PCL. PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

slowfast_feature_extractor. Feature Extractor module for videos using the PySlowFast framework

hpn. Hyperspherical Prototype Networks

awesome-ai-in-finance. 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

awesome-quant. A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

pytorch-multi-class-focal-loss. An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

meta-weight-net. NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Basic-Mathematics-for-Machine-Learning. The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

ml-road. Machine Learning and Agentic AI Resources, Practice and Research

Real2Sim_CoRL2020. Repository containing code for CoRL 2020 paper on "Learning Object Manipulation Skills via Approximate State Estimation from Real Videos"

d2l-en. Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

vision_transformer. Jupyter Notebook

RobustMetaLearningMLR. This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.

remote-jobs. Source for remoteintech.company — a community-maintained directory of remote-friendly tech companies

LossLandscape. Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

JigenDG. Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

pytorch-metric-learning. The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

gradient_descent_viz. interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

Bag-of-Tricks-for-AT. Empirical tricks for training robust models (ICLR 2021)

awesome-ai-ml-dl. Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

SlowFast. PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

imbalanced-semi-self. [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

cifar100coarse. Build PyTorch CIFAR100 using coarse labels

NVAE. The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Speech. A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

l5kit. L5Kit - https://woven.toyota

merlin. (NeurIPS 2020) Meta-Consolidation for Continual Learning

Long-Tailed-Recognition.pytorch. [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

annotated_research_papers. This repo contains annotated research papers that I found really good and useful

sewar. All image quality metrics you need in one package.

awesome-mlss. 🤖 Machine Learning Summer School Guide

Javis.jl. Julia Animations and Visualizations

class-balanced-loss. Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Awesome-of-Long-Tailed-Recognition. A curated list of long-tailed recognition resources.

rewriting. Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

CLsurvey. Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

SciencePlots. Matplotlib styles for scientific plotting

awesome-self-supervised-learning. A curated list of awesome self-supervised methods

genrl. A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

hopfield-layers. Hopfield Networks is All You Need

productive-box. Are you an early 🐤 or a night 🦉? Let's check out in gist

fscil. Official repository for Few-Shot Class-Incremental Learning (FSCIL)

easy-rfp. Jupyter Notebook

RepDistiller. [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

einops. Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

supsup. Supermasks in Superposition

vscode-math-to-image. 📐 Render LaTeX math equations in any Markdown file!

toma. Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

hiring-without-whiteboards. ⭐️ Companies that don't have a broken hiring process

Data-Visualization. A collection of tips and tricks for data visualization in Python.

github-readme-stats. :zap: Dynamically generated stats for your github readmes

neural-tangents. Fast and Easy Infinite Neural Networks in Python

supsup. Code for "Supermasks in Superposition"

robustness. Corruption and Perturbation Robustness (ICLR 2019)

license. Prevent oil and gas companies from co-opting your work and extracting more fossil fuels with this software license.

auriga. Auriga is a minimalist LaTeX beamer presentation theme 📽

normalizing-flows. Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

pytorch_misc. Code snippets created for the PyTorch discussion board

Awesome-pytorch-list. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

understandingbdl. Jupyter Notebook

penrose. Create beautiful diagrams just by typing notation in plain text.

delve. PyTorch model training and layer saturation monitor

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

fvcore. Collection of common code that's shared among different research projects in FAIR computer vision team.

continuum. A clean and simple data loading library for Continual Learning

open_lth. A repository in preparation for open-sourcing lottery ticket hypothesis code.

mammoth. (General) Continual Learning Framework in Pytorch

micrograd. A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

nerf-pytorch. A PyTorch re-implementation of Neural Radiance Fields

nnsrm-neurips18. Lu, et al. (2018) Shared Representational Geometry Across Neural Networks. Workshop on Integration of Deep Learning Theories, NeurIPS.

nsf. Code for Neural Spline Flows paper

iTAML. Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020

Made-With-ML. Learn how to develop, deploy and iterate on production-grade ML applications.

arXausality. A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

Torch-Pruning. [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

PyHessian. PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

awesome_deep_learning_interpretability. 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

MLQuestions. Machine Learning and Computer Vision Engineer - Technical Interview Questions

reviews. Writing reviews of academic papers

shap. A game theoretic approach to explain the output of any machine learning model.

List_of_Resources_ResearchAdvice. This list contains links to resources I find useful during my journey in producing good research work

cv_note. 记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

causalml. Uplift modeling and causal inference with machine learning algorithms

Conference-Acceptance-Rate. Acceptance rates for the major AI conferences

PyTorch-VAE. A Collection of Variational Autoencoders (VAE) in PyTorch.