A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

🔊 Text-Prompted Generative Audio Model

A game theoretic approach to explain the output of any machine learning model.

A collection of various deep learning architectures, models, and tips

深度学习入门教程, 优秀文章, Deep Learning Tutorial

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Build your neural network easy and fast, 莫烦Python中文教学

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

For extensive instructor led learning

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

TensorFlow 101: Introduction to Deep Learning

https://www.sc-best-practices.org

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

a framework for training sequence-level deep learning networks

code for reading and processing Allen Institute for Brain Science data

Reference mapping for single-cell genomics

Examples of single-cell genomic analysis accelerated with RAPIDS

Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

Spatial alignment of single cell transcriptomic data.

Hierarchical Uniform Manifold Approximation and Projection

PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)

SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

poseidon system - open source syringe pumps and microscope for laboratories

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

A Bayesian model for compositional single-cell data analysis