pacocp

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

uv

An extremely fast Python package and project manager, written in Rust.

corenet

CoreNet: A library for training deep neural networks

StableCascade

Official Code for Stable Cascade

gemma_pytorch

The official PyTorch implementation of Google's Gemma models

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

framework

A static site generator for data apps, dashboards, reports, and more. Observable Framework combines JavaScript on the front-end for interactive graphics with any language on the back-end for data analysis.

self-rewarding-lm-pytorch

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

flash-linear-attention

Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

alphafold3-pytorch

Implementation of Alphafold 3 in Pytorch

jaxtyping

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

evo

Biological foundation modeling from molecular to genome scale

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

SiT

Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

immunedeconv

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

DiffiT

[ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation

ddpo-pytorch

DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

HiC-Pro

HiC-Pro: An optimized and flexible pipeline for Hi-C data processing

dora

Implementation of DoRA

Histopathology-Datasets

Ressources of histopathology datasets

spatialdata

An open and interoperable data framework for spatial omics data

gReLU

gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.

CT-CLIP

Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

tangermeme

Biological sequence analysis for the modern age.

ViT-Prisma

ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).

fusilli

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

FLAIR

[MedIA'24] FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

DINO_concise

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method, own data set and own adapted training.

TCGAclinical

Clinical data for the TCGA PanCancer Atlas