Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors

A versatile pairwise aligner for genomic and spliced nucleotide sequences

BioNeMo Framework: For building and adapting AI models in drug discovery at scale

Solve puzzles. Improve your pytorch.

Structural variant toolkit for VCFs

Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Code for the paper Succinct k-mer Set Representations Using Subset Rank Queries on the Spectral Burrows-Wheeler Transform (SBWT)

Interact with your documents using the power of GPT, 100% privately, no data leaks

Solve puzzles. Learn CUDA.

Using transformers for haplotype assembly

Inference code for Llama models

Crawl a site to generate knowledge files to create your own custom GPT from a URL

Examples and guides for using the OpenAI API

Open source code for AlphaFold 2.

Avogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.

Port of OpenAI's Whisper model in C/C++

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Dashing 2 is a fast toolkit for k-mer and minimizer encoding, sketching, comparison, and indexing.

Tools for programming chemical reaction networks (CRN), DNA strand-displacement circuits (DSD) and genetically engineered circuits (GEC).

GFA visualizer, GPU-accelerated using Vulkan

Code for the ProteinMPNN paper

A General-purpose Task-parallel Programming System using Modern C++

Listing of papers about machine learning for proteins.

List of papers about Proteins Design using Deep Learning