Ashutosh Mishra's starred repositories

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language:PythonLicense:NOASSERTIONStargazers:21380Issues:399Issues:284

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Language:PythonLicense:MITStargazers:9244Issues:43Issues:382

ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Language:PythonLicense:Apache-2.0Stargazers:2721Issues:20Issues:264

Awesome-Vision-Attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

salt

Segment Anything Labelling Tool

Language:PythonLicense:MITStargazers:974Issues:9Issues:35

ControlVideo

[ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"

Language:PythonLicense:MITStargazers:679Issues:21Issues:29

Deep-Learning-Tricks

Enumerate diverse machine learning training tricks.

License:MITStargazers:414Issues:42Issues:0

CDAN

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Language:Jupyter NotebookStargazers:387Issues:10Issues:32

HyperNetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

Language:PythonLicense:GPL-3.0Stargazers:244Issues:5Issues:7

MANIQA

[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Language:PythonLicense:Apache-2.0Stargazers:238Issues:1Issues:44

PETL-ViT

Official code of [ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass

Language:PythonLicense:MITStargazers:149Issues:3Issues:18

awesome-computer-vision-in-sports

A comprehensive list of papers on computer vision in sports

see-inside-cnn

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

Language:Jupyter NotebookLicense:MITStargazers:68Issues:6Issues:0

lectures-and-homeworks

📚 A place for all supplementary materials like slides, homework assignments etc.

Language:TypeScriptLicense:MITStargazers:61Issues:4Issues:0

gbt

Official PyTorch implementation of GBT: Geometry-biased Transformers for Novel View Synthesis

MDIL-SS

Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022

Language:Jupyter NotebookStargazers:49Issues:6Issues:5

Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

hyperlight

Modular and intuitive Hypernetworks in Pytorch

Language:PythonLicense:Apache-2.0Stargazers:19Issues:4Issues:6
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vs3-cnn-labs

Computer vision labs for Vision and Sports Summer School 2022

Language:Jupyter NotebookLicense:MITStargazers:10Issues:6Issues:0

Semseg-Notebooks

This repository contains IPython notebooks explanining semantic segmentation from scratch.

Language:Jupyter NotebookStargazers:9Issues:3Issues:0

shadernn

A lightweight deep learning inference framework optimized for Convolutional Neural Networks on mobile platforms.

Language:C++License:NOASSERTIONStargazers:7Issues:0Issues:0

tt-sfuda

Official Pytorch Code base for Target and Task specific Source-Free Domain Adaptive Image Segmentation

contextual_class

Reducing Annotation Cost by Labeling Contextually Diverse Classes WACV2023

Language:PythonStargazers:6Issues:2Issues:0