Ashutosh1995

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), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

vit-pytorch

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

recommenders

Best Practices on Recommendation Systems

vision_transformer

yolo_tracking

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

transitions

A lightweight, object-oriented finite state machine implementation in Python with many extensions

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

awesome-implicit-representations

A curated list of resources on implicit neural representations.

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Adabelief-Optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

LSTR

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

TransTrack

Multiple Object Tracking with Transformer

DeepImageBlending

This is a Pytorch implementation of deep image blending

nlp_newsletter

📰Natural language processing (NLP) newsletter

CoCLR

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

LOST

Pytorch implementation of LOST unsupervised object discovery method

ASTRA

Self-training with Weak Supervision (NAACL 2021)

EPCDepth

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

Teaching

Stuff for educational purposes, mainly machine learning, Python and statistics

TensorPipe

High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.

Contrastive-Predictive-Coding-for-Image-Recognition-in-PyTorch

PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 and https://arxiv.org/abs/1905.09272 .

see-inside-cnn

Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras

single-view-autocalib

Single-View Auto-Calibration from Lens-Distorted Images of Urban Scenes. In WACV (2021)

merlin

(NeurIPS 2020) Meta-Consolidation for Continual Learning

Fundamentals-of-Digital-Image-and-Video-Processing-course

This repository contains python notebooks taken from Coursera course "Fundamentals of Digital Image and Video Processing", taught at Northwestern University

ILA-DA

d2l.ai

LOD

[NeurIPS 2021] Official Matlab implementation of LOD: Large-Scale Unsupervised Object Discovery.

vanishingPoint

Code for vanishing point extraction along with rotation matrix