This is a repo for all the code I learnt from watching Youtube videos for Coding AI-based Generative models. Helps me to code papers directly.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A snapshot of the assets for the Learn Go course on FreeCodeCamp's youtube

This GitHub Action creates a GitHub contribution calendar on a 3D profile image.

Hand-eye calibration tools for robot arms.

⏰ AI conference deadline countdowns

This repo contains the Hugging Face Deep Reinforcement Learning Course.

This is a repo where I keep a track of the Computer Vision papers that I am reading

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

Code and Data for "the paper HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge" (findings of EMNLP 2021)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Smart India Hackathon Runner Up

This GitHub action helps to add cool dev metrics to your github profile Readme

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

[CVPR 2022] Per-Clip Video Object Segmentation

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

List of Winter 2022 internships

Collection of Fall 2023 tech internships!

Omnivore: A Single Model for Many Visual Modalities

(IEEE TVCG) Voxel for 4D Novel View Synthesis

my notes for the papers of cnns and gans

Official Pytorch implementation of Super Vision Transformer (IJCV)

[SIGGRAPH 2022] ARTEMIS, a novel neural modeling and rendering pipeline for generating ARTiculated neural pets with appEarance and Motion synthesIS.

https://huyenchip.com/ml-interviews-book/

Find here every 🎯 Open Source Programs | Internships | Competitions | Fellowships in a systematic way. Most imp. " Deadlines are mentioned for Registration" .