black0017

faiss

A library for efficient similarity search and clustering of dense vectors.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

llm.c

LLM training in simple, raw C/CUDA

path-to-senior-engineer-handbook

All the resources you need to get to Senior Engineer and beyond

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

ml-engineering

Machine Learning Engineering Open Book

vision_transformer

open_clip

An open source implementation of CLIP.

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

resources-to-become-a-great-engineering-leader

List of books, blogs, newsletters and people!

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

TexasSolver

🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:

ublock-hide-yt-shorts

uBlock Origin filter list to hide YouTube Shorts

ProteinMPNN

Code for the ProteinMPNN paper

ImageNet21K

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

ibot

iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

RADIO

Official repository for "AM-RADIO: Reduce All Domains Into One"

guacamol

Benchmarks for generative chemistry

CS6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

reassessed-imagenet

Labels and other data for the paper "Are we done with ImageNet?"

RNA-FM

RNA foundation model

dgm-eval

Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

deep-learning-visuals

A collection of 100 Deep Learning images and visualizations

RepresentationLearning_SS2023

Representation Learning MSc course Summer Semester 2023

ct-intensity-segmentation

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

ood-metrics

Functions for computing metrics commonly used in the field of out-of-distribution (OOD) detection

CPP

This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.

TEMI-official-BMVC2023

[BMVC2023] Official code for TEMI: Exploring the Limits of Deep Image Clustering using Pretrained Models

plp-official-tmlr2024

Code for our TMLR 2024 paper: Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection https://arxiv.org/abs/2303.05828

cytominer-eval

Common Evaluation Metrics for DataFrames