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sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.brainstorm
Fast, flexible and fun neural networks.modern-srwm
Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)hhmarl_2D
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combatrecurrent-fwp
Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)neuraldiffeq-fwp
Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)credici
Credici: Credal Inference for Causal Inferencelmtool-fwp
PyTorch Language Modeling Toolkit for Fast Weight Programmersfpainter
Official repository for the paper "Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules" (ICLR 2023)GoGePo
Official repository for the paper "Goal-Conditioned Generators of Deep Policies"crema
Crema: Credal Models Algorithmsgpforecasting
kohonen-vae
Official repository for the paper "Topological Neural Discrete Representation Learning Γ la Kohonen" (ICML 2023 Workshop on Sampling and Optimization in Discrete Space)policyevaluator
Official repository for the paper "General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States"bayesRecon
Source of bayesRecon R package πMLprod
Machine Learning in ProductionNewTechnoWar
New Techno War, an IDSIA project in collaboration with Armasuisse.crepo
flotta
A federated learning framework for researchers.rtrl-elstm
Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning"adapquest
ADAPtive QUESTtionnaire, an IDSIA tool for adaptive tests, surveys, and questionnaires.Love Open Source and this site? Check out how you can help us