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Fit interpretable models. Explain blackbox machine learning.
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Official repository for the ProteinGym benchmarks
Episcanpy: Epigenomics Single Cell Analysis in Python
A tool to find sequencing data and metadata from public databases.
🧬 gget enables efficient querying of genomic reference databases
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
Analyzing and visualizing KEGG information using the grammar of graphics
Creating beautiful plots of data maps
Analysis platform for large-scale dose-dependent data
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
pyPept: a python library to generate atomistic 2D and 3D representations of peptides
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An object-oriented algebraic modeling language in Python for structured optimization problems.
A high performance Python graph library implemented in Rust.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Interactive graph visualizations with Python and HTML/CSS/JS.
A generative model for programmable protein design