A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related webs…

A curated list of awesome Multimodal studies.

Cell-painting data analysis corresponding to the "Pervasive mislocalization of pathogenic coding variants underlying human diseases" paper

Cell Painting Gallery

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

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

A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

🤖 Machine Learning Summer School Guide

PyTorch implementation of Barlow Twins.

An unopinionated replacement for PyTorch's Dataset and ImageFolder, that handles Tar archives

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

A curated list of awesome self-supervised methods

Streamlit — A faster way to build and share data apps.

List of AI Residency Programs

A curated list of resources for Learning with Noisy Labels

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Morphological profiling using deep learning

Methods and Implements of Deep Clustering

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

A parser for Google Scholar, written in Python

This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734

📢 Various README templates & tips on writing high-quality documentation that people want to read.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Latex code for making neural networks diagrams

PyTorch deep learning projects made easy.