marichka-dobko

contrastors

Train Models Contrastively in Pytorch

gpt4all

gpt4all: run open-source LLMs anywhere

nomic

Interact, analyze and structure massive text, image, embedding, audio and video datasets

Smart-Nebulizer

Grand Prize Winner of New York Health Hackathon 2023, Sponsored by Johnson & Johnson and Weill Cornell.

Wheezer

Grand Prize Winner & Sustainability Prize Winner of 2017 Intel International Hackathon.

genv

GPU environment and cluster management with LLM support

lovely-tensors

Tensors, ready for human consumption

ml-cvnets

CVNets: A library for training computer vision networks

CLIP_prefix_caption

Simple image captioning model

sioyek

Sioyek is a PDF viewer with a focus on textbooks and research papers

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers

open_clip

An open source implementation of CLIP.

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

MedISeg

IntroECG

Resource library for getting started with deep learning work using electrocardiograms

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Awesome-Transformer-Attention

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

sesn

Code for "Scale-Equivariant Steerable Networks"

sparse-ncnet

Implementation of Sparse-NCNet: "Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions"

WSMIS

Weakly Supervised Medical Images Segmentation

LIDChallenge2020-NoPeopleAllowed

A 3rd place solution for LID Challenge at CVPR 2020 on Weakly Supervised Semantic Segmentation

brain_tumor_segmentation

Implementation of different techniques for segmentation of tumors in MRI images.

CoronaryArteryStenosisScoreClassification

CNN for Classification of Coronary Artery Stenosis Score inMPR Images.

Efficient-3DCNNs

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

elektronn3

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

OneShotTranslation

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"