Google Research

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

QLoRA: Efficient Finetuning of Quantized LLMs

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

The "Python Machine Learning (2nd edition)" book code repository and info resource

Bayesian optimization in PyTorch

Making Protein folding accessible to all!

Code for the ProteinMPNN paper

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Foundation Models for Genomics & Transcriptomics

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

VQVAEs, GumbelSoftmaxes and friends

Machine Learning algorithms implemented from scratch

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Examples of single-cell genomic analysis accelerated with RAPIDS

Bilingual Language Model for Protein Sequence and Structure

Short tutorial for TensorFlow, designed to be presented in-person

Ultra-deep search for novel viruses

TensorFlow tutorial on Generative Adversarial Models

A PyTorch library for two-sample tests

Deep networks for protein functional inference

Masif seed paper repository

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active le…

SIMD-accelerated library for computing global and X-drop affine gap penalty sequence-to-sequence or sequence-to-profile alignments using an adaptive block-based algorithm.

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬

Sapiens is a human antibody language model based on BERT.

🗺️ Community curated and predicted equivalences and related mappings between named biological entities that are not available from primary sources.

Interpreting graph convolutional filters of target prediction network