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Material workbench for the master-level course CS-E4740 "Federated Learning"
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A Collection of Competitive Text-Based Games for Language Model Evaluation and Reinforcement Learning
Epistemic AlphaZero utilizes uncertainty to explore and learn even when AlphaZero gets stuck.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Adaption of JAXMARL for imp-act.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
[ICLR' 25] The PyTorch implementation of our paper: "Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning".
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
An open source implementation of CLIP.
Janus-Series: Unified Multimodal Understanding and Generation Models
Experimental code for ELBOing Stein: Variational Bayes with Stein Mixture Inference
GEO2020_MSc thesis_Yuzhen JIN
MSc Geomatics graduation thesis: Development and Testing of a CityJSON Energy Extension for Space Heating Demand Calculation
An educational resource to help anyone learn deep reinforcement learning.
A collection of awesome mathematics and computer science courses
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Repository for the Lux AI Challenge, season 3 @NeurIPS 24. Hosted on @kaggle
1 million FPS multi-agent driving simulator