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Methods to discover gene programs on single-cell data
R package for integrating and analyzing multiple single-cell datasets
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel fr…
Methods for detecting doublets in single-cell sequencing data
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…
Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A LaTeX/Beamer template for your UGE or Inria presentations
Learning English through the method of constructing sentences with conjunctions
Learning Resources And Links Of Machine Learning(updating)
NicheNet: predict active ligand-target links between interacting cells
Feature Ranking in (possibly large) Clustered Single Cell Data
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Methods to compute Local Inverse Simpson's Index (LISI)
👻 Utilities for analyzing Bayesian models and posterior distributions
Rich is a Python library for rich text and beautiful formatting in the terminal.
#1 Locally hosted web application that allows you to perform various operations on PDF files
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
Positron, a next-generation data science IDE