instadeepai/IndabaX-TN-2023-RL

Stars
4
Rank 3,303,985 (Top 66 %)
Language
Jupyter Notebook
Created over 1 year ago
Updated over 1 year ago

instadeepai/IndabaX-TN-2023-RL

instadeepai

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

jumanji

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

nucleotide-transformer

🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

flashbax

⚡ Flashbax: Accelerated Replay Buffers in JAX

og-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

🧬 ManyFold: An efficient and flexible library for training and validating protein folding models

catx

🐈‍⬛ Contextual bandits library for continuous action trees with smoothing in JAX

marl-eval

A tool for aggregating and plotting MARL experiment data.

poppy

🌺 Population-Based Reinforcement Learning for Combinatorial Optimization

fastpbrl

Vectorization techniques for fast population-based training.

FrameDiPT

FrameDiPT: an SE(3) diffusion model for protein structure inpainting

Jupyter Notebook

sebulba

🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX

InstaNovo

De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments

awesome-marl

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

compass

🧭 COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search

EGTA-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 PLMs

DebateLLM

Benchmarking Multi-Agent Debate between Language Models for Truthfulness in Q&A.

Jupyter Notebook

gtc-course-2020

Tutorial on Multi-Agent Reinforcement for Train Scheduling

LightMHC

LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks

gcp-gpu-metrics

📈 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 Function

Jupyter Notebook

matrax

A collection of matrix games in JAX

qd-skill-discovery-benchmark

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

scaling-resnets

⚡️ A framework that investigates the scaling limit of ResNets and compares it to Neural ODEs. Tested on synthetic and standardized datasets. 📈

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.

Jupyter Notebook

Indabax-Tunisia-2019

This repository contains the practical notebooks for the Indabax Tunisia 2019, held in Tunis on 13 April.

Jupyter Notebook

IndabaX-SA-2021

IndabaX-SA-2021

Jupyter Notebook

locust-predict

Locust breeding ground prediction using pseudo-absence generation and machine learning.

Jupyter Notebook

tpu-workshop

Materials for the TPU Workshop

Jupyter Notebook

SKAInnotate

Jupyter Notebook