Learning Deep Representations of Data Distributions

Analysis of epigenetic data in Python

Biomni: a general-purpose biomedical AI agent

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

assistant tools for attention visualization in deep learning

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

PyTorch building blocks for the OLMo ecosystem

Modeling, training, eval, and inference code for OLMo

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

📚 从零开始的大语言模型原理与实践教程

pytorch dataloaders for single-cell perturbation data

Comprehensive suite for evaluating perturbation prediction models

State is a machine learning model that predicts cellular perturbation response across diverse contexts

Convolutions for Sequence Modeling

Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.

Accelerate Molecular Biology Research with Machine Learning

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

GPU Kernels

Development repository for the Triton language and compiler

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

Accelerated, Python-only, single-cell integration benchmarking metrics

🐞 Convert NCBI taxonomy dump into lineages

Transformers 库快速入门教程

和李沐一起读论文

Orthrus is a mature RNA model for RNA property prediction. It uses a mamba encoder backbone, a variant of state-space models specifically designed for long-sequence data, such as RNA.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Genomic Pre-trained Network