Viresh-R

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

faiss

A library for efficient similarity search and clustering of dense vectors.

PlotNeuralNet

Latex code for making neural networks diagrams

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

imgaug

Image augmentation for machine learning experiments.

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

open_clip

An open source implementation of CLIP.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

ConvNeXt

Code release for ConvNeXt model

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

cryptos

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

few-shot-object-detection

Implementations of few-shot object detection benchmarks

MixNMatch

Pytorch implementation of MixNMatch

RETRO-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

PyHessian

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

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

DAGAN

DAGAN: Data Augmentation Generative Adversarial Networks

LearningToCountEverything

FewX

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

cs229m_notes

self-conditioned-gan

Diverse Image Generation via Self-Conditioned GANs

MoEx

MoEx (Moment Exchange)

Bilinear-Matching-Network

Official implementation for CVPR 2022 paper "Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting".

invert

PyTorch implementation of Mahendran & Vedaldi, 2015: "Understanding Deep Image Representations by Inverting Them"

fsl-rsvae

fscc

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning (WACV 2020)