Makarand Tapaswi

Some-tips-for-writing-an-AI-ML-paper.

caveman. 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

EasyR1. EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

babyview-dataset. Code for main model inference and training to accompany NeurIPS 2024 datasets & benchmarks submission

no-detail-left-behind. Code for paper "No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning".

openreview_helper. Python scripts to help ACs with OpenReview

LLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Awesome-LLMs-for-Video-Understanding. 🔥🔥🔥 [IEEE TCSVT] Latest Papers, Codes and Datasets on Vid-LLMs.

Awesome-Anything. General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

Awesome-Video-Datasets. Video datasets

useful-computer-vision-phd-resources. Lists of resources useful for my PhD in computer vision

hacker-laws. 🧠 Laws, Theories, Principles and Patterns for developers and technologists.

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

booknlp. BookNLP, a natural language processing pipeline for books

shotdetection. Code to perform shot detection and extraction on video

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

EasyOCR. Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Deep-Tutorials-for-PyTorch. In-depth tutorials for implementing deep learning models on your own with PyTorch.

awesome-text-image-transformer. Curated list of methods using image along with a BERT model

mlkatas. (Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

PRML. PRML algorithms implemented in Python

numpy-ml. Machine learning, in numpy

pmn_demo. code for running trained model from Visual Reasoning by Progressive Module Networks (ICLR19)

nvtop. GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

deep-reinforcement-learning. Repo for the Deep Reinforcement Learning Nanodegree program

mlcourse. Machine learning course materials.

awesome-rnn. Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome_3DReconstruction_list. A curated list of papers & resources linked to 3D reconstruction from images.

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

awesome-deep-learning-papers. The most cited deep learning papers