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TensorDict is a pytorch dedicated tensor container.
This repository contains training data for retention time prediction for the identification of metabolites from non-targeted LC-MS based metabolomics
Cython bindings and Python interface to Prodigal, an ORF finder for genomes and metagenomes. Now with SIMD!
Biological foundation modeling from molecular to genome scale
Cramming the training of a (BERT-type) language model into limited compute.
An integrated pipeline for estimating strain-level genomic variation from metagenomic data
Variational autoencoder for metagenomic binning
OpenRefine is a free, open source power tool for working with messy data and improving it
All Algorithms implemented in Python
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data. Pyteomics provides a growing set of modules to facilitate the most common t…
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Like PyTorch for building ML systems. Iterable, debuggable, multi-cloud, 100% reproducible across research and production.
From Thoughts to Well-Crafted Jupyter Notebook at Record-Speed
Combining tree-boosting with Gaussian process and mixed effects models
Seamlessly integrate LLMs into scikit-learn.
A high-performance implementation of Wilkinson formulas for Python.
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Probabilistic Numerics in Python.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
An unofficial Copilot plugin for Emacs.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Neural Networks for Protein Sequence Alignment