All Algorithms implemented in Python

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

The Python programming language

Deep Learning for humans

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

TensorFlow code and pre-trained models for BERT

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Matplotlib styles for scientific plotting

Uplift modeling and causal inference with machine learning algorithms

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Hummingbird compiles trained ML models into tensor computation for faster inference.

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

The full minitorch student suite.

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

🦆 Contextually-keyed word vectors

A powerful and flexible machine learning platform for drug discovery

Deep probabilistic analysis of single-cell and spatial omics data

ChIP-seq analysis notes from Ming Tang

LD Score Regression (LDSC)

Counterfactual Regression

Access to Biological Web Services from Python.

Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)

Highly Efficient Imaging Genetics (HEIG)