SoftVision17

torchkbnufft

A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

sigpy

Python package for signal processing, with emphasis on iterative methods

pynufft

PyNUFFT: Python non-uniform fast Fourier transform

Statistics_book

wsl2-gui-rdp

Docs Featured in Videos

mrrt.mri

MRI reconstruction tools on CPU and GPU

HST

Official implementation of Hierarchical Spectrogram Transformers (HST)

rf-ulm

RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

qups

A MATLAB toolbox for prototyping and simulating diagnostic ultrasound imaging systems

x-transformers

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

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Torch-Pruning

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

starting-kit

Starting kit for the NeurIPS 2023 unlearning challenge

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

SynDiff

Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).

ADSP_Tutorials

Advanced Digital Signal Processing Notebooks and Tutorials

langchain

🦜🔗 Build context-aware reasoning applications

Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Non-credit online course by DeepLearning.AI

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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, ... 🧠

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

vision

Datasets, Transforms and Models specific to Computer Vision

vit-pytorch

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

VAT-pytorch

Virtual Adversarial Training (VAT) implementation for PyTorch

torchmetrics

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.