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Mava
đĻ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAXjumanji
đšī¸ A diverse suite of scalable reinforcement learning environments in JAXnucleotide-transformer
đ§Ŧ Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomicsflashbax
⥠Flashbax: Accelerated Replay Buffers in JAXog-marl
Datasets with baselines for offline multi-agent reinforcement learning.tunbert
TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)AlphaNPI
Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.manyfold
đ§Ŧ ManyFold: An efficient and flexible library for training and validating protein folding modelscatx
đââŦ Contextual bandits library for continuous action trees with smoothing in JAXmarl-eval
A tool for aggregating and plotting MARL experiment data.poppy
đē Population-Based Reinforcement Learning for Combinatorial Optimizationfastpbrl
Vectorization techniques for fast population-based training.FrameDiPT
FrameDiPT: an SE(3) diffusion model for protein structure inpaintingsebulba
đĒ The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAXInstaNovo
De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experimentsawesome-marl
A categorised list of Multi-Agent Reinforcemnt Learning (MARL) paperscompass
đ§ COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space SearchEGTA-NMARL
Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning.protein-sequence-bfn
Supporting code for our paper "Protein Sequence Modelling with Bayesian Flow Networks"bioclip
Contrasting Sequence with Structure: Pre-training Graph Representations with PLMsgtc-course-2020
Tutorial on Multi-Agent Reinforcement for Train SchedulingLightMHC
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networksgcp-gpu-metrics
đ Tiny Go binary that aims to export Nvidia GPU metrics to GCP monitoring, based on nvidia-smi.outer-value-function-meta-rl
Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Functionmatrax
A collection of matrix games in JAXqd-skill-discovery-benchmark
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discoveryscaling-resnets
âĄī¸ A framework that investigates the scaling limit of ResNets and compares it to Neural ODEs. Tested on synthetic and standardized datasets. đIndabaX-TN-2023-RL
selective-reincarnation-marl
Official repository for Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning paper, accepted at the Reincarnating RL workshop at ICLR 2023.amld-africa-2021
Repository for the workshop at AMLD Africa 2021.Indabax-Tunisia-2019
This repository contains the practical notebooks for the Indabax Tunisia 2019, held in Tunis on 13 April.IndabaX-SA-2021
IndabaX-SA-2021locust-predict
Locust breeding ground prediction using pseudo-absence generation and machine learning.tpu-workshop
Materials for the TPU WorkshopSKAInnotate
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