Shikhar Gupta

reasoning-gym. [NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards

AlpacaDataCleaned. Alpaca dataset from Stanford, cleaned and curated

llama.cpp. LLM inference in C/C++

SpotifyTranscripts. 🎙️ AI generated subtitles and segmented chapters for podcasts

instruct-qa. Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"

CLIP. CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

phoenix. AI Observability & Evaluation

ivy. Convert Machine Learning Code Between Frameworks

metaseq. Repo for external large-scale work

notion-stockwidget. Trading View stock widget set up as page for Notion embed

SoftTeacher. Semi-Supervised Learning, Object Detection, ICCV2021

label-studio. Label Studio is a multi-type data labeling and annotation tool with standardized output format

YOLOv6. YOLOv6: a single-stage object detection framework dedicated to industrial applications.

autonomous-learning-library. A PyTorch library for building deep reinforcement learning agents.

ML-From-Scratch. Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

robust_loss_pytorch. A pytorch port of google-research/google-research/robust_loss/

GNC-and-ADAPT. Graduated Non-Convexity (GNC) and Adaptive Trimming (ADAPT) algorithms for outlier robust estimation

mlbook. Repository for the free online book Machine Learning from Scratch (link below!)

applied-ml. 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

PracticalSessions2021. Jupyter Notebook

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kerod. DETR - Faster RCNN implementation in tensorflow 2

models. Models and examples built with TensorFlow

machine-learning-systems-design. A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

detectron2. Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

state-of-the-art-result-for-machine-learning-problems. This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

mit-deep-learning. Tutorials, assignments, and competitions for MIT Deep Learning related courses.

DeblurGAN-pytorch. An easy-to-read implementation of DeblurGAN

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

learning-from-human-preferences. Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

Minigrid. Simple and easily configurable grid world environments for reinforcement learning

rl-teacher-atari. (This repository is no longer being maintained.) Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for efficiently collecting human feedback.

GPro. Python package for Preference Learning with Gaussian Processes.

random-network-distillation. Code for the paper "Exploration by Random Network Distillation"

rl-teacher. Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

FMP-dataset. A repository containing FCAV M-Air Pedestrian (FMP) Dataset of monocular RGB images and Planar LiDAR data for pedestrian detection.

ur5_ROS-Gazebo. Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers

realsense_gazebo_plugin. C++

librealsense. RealSense SDK

sawyer_simulator. Gazebo Simulation interface for the Sawyer Robot

gazebo_tutorials. Tutorials for gazebo classic

keras-spiking. Spiking neuron integration for Keras

mujoco-py. Cloth skin rendering problem solved

hardware-aware-transformers. [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

SFLoopProblemReporter. A docker based application which runs periodically on CircleCI, pulls in the application crashes related data from the dedicated server using available Rest APIs and creates nicely formatted Excel reports for the Developers to view and analyze.

realsense-ros. ROS Wrapper for RealSense™ Cameras

neurogym. A curated collection of neuroscience tasks with a common interface.

excalidraw. Virtual whiteboard for sketching hand-drawn like diagrams

Enabling_Spikebased_Backpropagation. Python

SpiNNakerGraphFrontEnd. Front end for SpiNNaker software which only uses a graph

cuSNN. Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

conv_snn. Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

web-api-examples. Basic examples to authenticate and fetch data using the Spotify Web API

spikingjelly. SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

spotify-data. Spotify API to BigQuery serverless pipeline

spotipy. A light weight Python library for the Spotify Web API

CNCC-2020. Computational Neuroscience Crash Course (University of Bordeaux, 2020)

c. A collaborative listening room using Spotify

SpiNNFrontEndCommon. Common support code for user-facing front end systems.

snn_angular_velocity. Event-Based Angular Velocity Regression with Spiking Networks

sPyNNaker8. The PyNN 0.8 interface to sPyNNaker.

spinnaker_tools. SpiNNaker API, sark, sc&mp, bmp firmware and build tools

MLP_NeuroSim_V3.0. Benchmark framework of synaptic device technologies for a simple neural network

gym. Python

PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-. PyTorch for Deep Learning and Computer Vision Course

hybrid-snn-conversion. Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

ML_toolbox. A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

xgboost. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

bindsnet_experiments. Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.

Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP. What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

bindsnet. Simulation of spiking neural networks (SNNs) using PyTorch.

neuroSummerSchools. List of summer schools in neuroscience and related fields

DDPG. Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

open-computational-neuroscience-resources. A publicly-editable collection of open computational neuroscience resources

medium-audio. Convert Medium Blogs to Audio Blogs

nengo-dl. Deep learning integration for Nengo

SpykeTorch. High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Computational_neuroscience_tutorial. MATLAB

GDevelop. 🎮 Open-source, cross-platform 2D/3D/multiplayer game engine designed for everyone.

napari. napari: a fast, interactive, multi-dimensional image viewer for python

spiking-neural-networks-mnist-classification. Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)

napari.github.io. website for the napari image viewer

docusaurus. Easy to maintain open source documentation websites.

nbdev. Create delightful software with Jupyter Notebooks

PySNN. Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

nengo. A Python library for creating and simulating large-scale brain models

NeMo. Fast spiking neural network simulator with GPU support

spike. Spiking neural network simulator

rejected.us. :cry: The codebase for rejected.us

slayerPytorch. PyTorch implementation of SLAYER for training Spiking Neural Networks

snn-minibatch. Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"

course-v3. The 3rd edition of course.fast.ai

Deep-Learning-Mobile. Implementing Deep Learning Models on smartphones using existing Deep Learning Python Libraries

PySnooper. Never use print for debugging again

machine_learning_examples. A collection of machine learning examples and tutorials.

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

numpy. The fundamental package for scientific computing with Python.

OpenAIGym. Solving OpenAI Gym problems.

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

neural-rs. Spiking neural network library for Rust

lm-snn. Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

spiketorch. Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

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

Cartpole-XGBoost. Repository for the Cartpole reinforcement learning problem

chainerrl. ChainerRL is a deep reinforcement learning library built on top of Chainer.

agents. TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

nlp-chatbot. Workshop material for the School of AI workshop on - Building a Chatbot using NLP

Pickup-line-search. A real time searchable pickup line search using react, express and elasticsearch! (Just for fun)

notes. Learn about Machine Learning and Artificial Intelligence

dynamics. A Compositional Object-Based Approach to Learning Physical Dynamics

Deep_reinforcement_learning_Course. Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

brian2tools. Tools to use with Brian 2, in particular for visualization

auryn. Auryn: A fast simulator for spiking neural networks with synaptic plasticity

hyper. A terminal built on web technologies

spytorch. Tutorial for surrogate gradient learning in spiking neural networks

circles-sines-signals. A Compact Primer on Digital Signal Processing

neuronaldynamics-exercises. Python exercises accompanying the book "Neuronal Dynamics"

spikeflow. Python library for easy creation and running of spiking neural networks in tensorflow.

music-classification-cnn-pytorch. Music genre classification using Convolutional Neural Networks on Spectrograms in PyTorch

Spiking-CNN. Spiking Convolutional Neural Networks

spectrogram. Audio spectrogram in canvas.

spectrogram. Web Audio Spectrogram

conv_arithmetic. A technical report on convolution arithmetic in the context of deep learning

randomCNN-voice-transfer. Audio style transfer with shallow random parameters CNN.

fastai. The fastai deep learning library

Iterative-Neural-Style-Transfer. Implementation of neural style transfer in Tensorflow as proposed by Gatys et al.

PlotNeuralNet. Latex code for making neural networks diagrams

spykes. Tools for spike data analysis and visualization

Neural_Decoding. A python package that includes many methods for decoding neural activity

SpikingNeuralNetwork. A python implementation of a spiking neural network with STDP and Reinforcement learning methods

surreal. Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab

brian2. Brian is a free, open source simulator for spiking neural networks.

event-based_vision_resources. Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)

musical-neural-net. Train an LSTM to generate piano or violin/piano music.

Computational-Neuroscience-UW. Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington

spinnaker. Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.

julia. The Julia Programming Language

Spiking-Restricted-Boltzmann-Machines. Applications and build-up over basic SRBM implementation

glow. Compiler for Neural Network hardware accelerators

spinningup. An educational resource to help anyone learn deep reinforcement learning.

algorithms-julia.

CARLsim3. CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

tigrillo. A framework for simulation of a compliant quadruped robot

snn_object_recognition. Spiking CNN for object recognition

book-recommender-system-rbm. A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow

snn_toolbox. Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

DSE200_Python_for_Data_Analysis. Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)

BoostNote-Legacy. This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

bindsnet. Simulation of spiking neural networks (SNNs) using PyTorch.

isolvemath. A platform which solves maths word problems in English language

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

hugo-theme-academic-cv. 🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇

neurons. Python simulations of neuron models like SRM and STDP

resources. :book: Huge curated collection (archive) of links of Tech, Science, Economics, Politics, Life, Philosophy, Conferences, Videos and much more resources from everyday surfing. :star: Since October 21, 2017.

Overcoming-exploration-from-demos. Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

HER-learn-InverseKinematics. Learning Inverse Kinematics of a Barret WAM Robotic arm in Gazebo simulation

yoda. Wise and powerful personal assistant, available in your nearest terminal

stdp-mnist. Python

spiking-net-tensorflow. A spiking net simulator implemented in Tensorflow 2.0 with plastic synaptic delays and weights.

probabilistic-neural-network-in-python. This folder contains the simple implementation of probabilistic neural network in python.

ml-cheatsheet. A constantly updated python machine learning cheatsheet

Easy21_ReinforcementLearning. Implementation of reinforcement learning algorithms to Easy21 ( a variation of BlackJack )

Time-Series-Analysis-with-ELMs. Jupyter Notebook

profile-summary-for-github. Tool for visualizing GitHub profiles

MLWithJulia. Julia code snippets to help with general machine learning algorithm implementations. Based on Andrew Ng ML course on coursera.

awesome-machine-learning. A curated list of awesome Machine Learning frameworks, libraries and software.

gym. A toolkit for developing and comparing reinforcement learning algorithms.

src2png. 📸💻 Turn your source code into beautiful syntax-highlighted images.

stdp_mnist. Python

playground. Play with neural networks!

eCD. Event-Driven CD in Spiking Neural Networks

SudokuVisionSolver. OpenCV (Python) program that recognizes and reads a sudoku grid from an image and solves the puzzle via backtracking

uvnn-clone. Jupyter Notebook

restricted-boltzmann-machines. Restricted Boltzmann Machines in Python.

HomeCooksGalore. Home Cooks Galore is a web-application made in Django that allows users to share personal recipes of home-made dishes with the world

BottleFlip. A casual game for android.

tensorflow. An Open Source Machine Learning Framework for Everyone

FPGA-peripherals. :seedling: :snowflake: Collection of open-source peripherals in Verilog

AIR_papers. Database of Artificial Intelligence and Robotics papers.

brian. Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer developed, for new projects consider using Brian2 instead.

m100_x3. C++

toyCarIRL. Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

deconvfaces. Generating faces with deconvolution networks

Onboard-SDK. DJI Onboard SDK Official Repository

Onboard-SDK-ROS. Official ROS packages for DJI onboard SDK.

Manifold-Cam. The project realizes to get the video data from X3 camera on M100.

project52. 52 weeks, 52 Go projects