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Examples and guides for using the OpenAI API
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
The "Python Machine Learning (1st edition)" book code repository and info resource
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Flax is a neural network library for JAX that is designed for flexibility.
Making Protein folding accessible to all!
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Koç University deep learning framework.
WebGL accelerated JavaScript molecular graphics library
Jupyter widget to interactively view molecular structures and trajectories
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
Foundation Models for Genomics & Transcriptomics
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Python for chemoinformatics
This is the repo for the paper Shepherd -- A Critic for Language Model Generation
EigenFold: Generative Protein Structure Prediction with Diffusion Models
Comprehensive benchmarking of protein-ligand structure prediction methods. (ICML 2024 AI4Science)
Predict multiple protein conformations using sequence clustering and AlphaFold2.
電子書籍『仕事ではじめる機械学習』のサポートリポジトリです
Julia Programming Projects, published by Packt