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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 Programmersnovel2graph
fpainter
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 à la Kohonen" (ICML 2023 Workshop on Sampling and Optimization in Discrete Space)bayesRecon
Source of bayesRecon R package 📈MLprod
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