ArielSSchwartz

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

intervaltree

A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.

langchain

🦜🔗 Build context-aware reasoning applications

langchain-tutorials

Overview and tutorial of the LangChain Library

evo

Biological foundation modeling from molecular to genome scale

text-generation-inference

Large Language Model Text Generation Inference

chat-ui

Open source codebase powering the HuggingChat app

crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

RFdiffusion

Code for running RFdiffusion

ColabDesign

Making Protein Design accessible to all via Google Colab!

ColabFold

Making Protein folding accessible to all!

neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

nn_pruning

Prune a model while finetuning or training.

vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

awesome-protein-representation-learning

Awesome Protein Representation Learning

trl

Train transformer language models with reinforcement learning.

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

lamini

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

notebooks

Notebooks using the Hugging Face libraries 🤗

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

pingouin

Statistical package in Python based on Pandas

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

toolz

A functional standard library for Python.

TRILL

Sandbox for Deep-Learning based Computational Protein Design

wazy

Bayesian Optimization with Pretrained Protein Sequence Models

protein-sequence-models

Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.