An experimental Kubernetes "container" runtime for WebAssembly

CRISPSR-GPT LLM Agent Public Welcome Page

Prompt Declaration Language (PDL) is a declarative prompt programming language.

PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models

[Briefings in Bioinformatics] A Survey of Generative AI for de novo Drug Design

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

ALL Molecular ML papers from NeurIPS'24.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Benchmark datasets, data loaders, and evaluators for graph machine learning

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured…

Chemist AI Agent for Rational Inverse Design of Materials

The Missing Semester of Your CS Education 📚

Official repository for the Boltz biomolecular interaction models

Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

📺 Discover the latest machine learning / AI courses on YouTube.

overview of datasets for ML in chemistry

Activity-Cliff Awareness Enables Robust Graph Learning for Molecular Property Prediction

benchmark datasets of low-sample size narrow scaffold inhibitors

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

HPT - Open Multimodal LLMs from HyperGAI

DSPy: The framework for programming—not prompting—language models

Learning Universal Representations of Intermolecular Interactions with ATOMICA

TDC Data Processing Tracker