Command-line program to download videos from YouTube.com and other video sites

scikit-learn: machine learning in Python

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

The fundamental package for scientific computing with Python.

Data Apps & Dashboards for Python. No JavaScript Required.

SciPy library main repository

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Deep universal probabilistic programming with Python and PyTorch

Command-line utility that extracts streams from various services and pipes them into a video player of choice. No longer maintained, use streamlink or youtube-dl instead.

Single-cell analysis in Python. Scales to >100M cells.

Gaussian processes in TensorFlow

Deep probabilistic analysis of single-cell and spatial omics data

nose is nicer testing for python

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Normalizing flows in PyTorch

Geometric Algebra for Python

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Tuning hyperparams fast with Hyperband

Library of autoencoders for sequential data

CellRank: dynamics from multi-view single-cell data

Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)

PyTorch code to run synthetic experiments.

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

Deep count autoencoder for denoising scRNA-seq data

A novel machine learning pipeline to analyse spatial transcriptomics data

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

RNA velocity estimation in Python

A project to enable optimization of molecules by transforming them to and from a continuous representation.

Deep learning for gene expression inference