Code for the ICML 2023 paper "Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning"
☆11Jun 3, 2023Updated 3 years ago
Alternatives and similar repositories for LearningToLearnCogTasks
Users that are interested in LearningToLearnCogTasks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)☆18Jun 2, 2023Updated 3 years ago
- Supporting code and data for "How multisensory neurons solve causal inference" by Rideaux, Storrs, Maiello and Welchman (2021) PNAS☆10Jul 7, 2021Updated 5 years ago
- MyoChallenge evaluation scripts☆17Apr 16, 2023Updated 3 years ago
- Framework for computing connectivity measures using MNE-Python☆11Jul 6, 2023Updated 3 years ago
- Automated Quantitative Trait Locus Analysis (AutoQTL)☆13Jul 22, 2026Updated 3 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆16Jul 16, 2024Updated 2 years ago
- Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization☆30Dec 1, 2025Updated 11 months ago
- ☆16Oct 4, 2025Updated last year
- Source localization and connectivity analysis of high-density EEG data☆11Mar 17, 2021Updated 5 years ago
- Resting state pipeline from pre-processing raw data until doing a power/frequency analysis and a microstate analysis☆13Jan 4, 2023Updated 3 years ago
- ☆16Aug 2, 2022Updated 4 years ago
- This repository is the official implementation of Learning Goal-Conditioned Representations for Language Reward Models☆11Dec 14, 2024Updated last year
- Functional JAX middleware using a compute Node abstraction☆22Sep 6, 2026Updated 2 months ago
- Open-Source Simulation platform for Deep Brain Stimulation☆16Nov 28, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official implementation of the paper "Arbitrarily Scalable Environment Generators via Neural Cellular Automata", published in NeurIPS 202…☆13Oct 31, 2023Updated 3 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆18Nov 24, 2025Updated 11 months ago
- Fiddling with Lindenmayer systems☆15Mar 24, 2023Updated 3 years ago
- Official implementation for "How Should We Meta-Learn Reinforcement Learning Algorithms?"☆23Sep 7, 2025Updated last year
- An open-source software package for motor control and motor learning researchers.☆26Sep 6, 2024Updated 2 years ago
- Graph analysis of resting state eeg data using MNE and Networkx☆21Jun 4, 2018Updated 8 years ago
- [TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907☆16Aug 5, 2024Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆42Feb 27, 2024Updated 2 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆11Feb 28, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Nov 23, 2021Updated 4 years ago
- Siggraph Asia 2025☆12Aug 27, 2025Updated last year
- Artifact removal and signal denoising for EEG and MEG.☆31Updated this week
- Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the p…☆20Nov 13, 2023Updated 2 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆24Jun 7, 2022Updated 4 years ago
- Code for the "Cultural evolution in populations of Large Language Models" paper☆36Oct 15, 2026Updated 3 weeks ago
- Intrinsic Evolution of Embodied Neural Cellular Automata Ecosystems. Parallelized with Taichi and PyTorch☆19Mar 2, 2026Updated 8 months ago
- ☆12Aug 28, 2020Updated 6 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆31Sep 16, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- EASEA (EAsy Specification of Evolutionary Algorithms) is an Artificial Evolution platform developped by the SONIC (Stochastic Optimisati…☆19Oct 26, 2023Updated 3 years ago
- Code for the paper "Representing Spatial Trajectories as Distributions"☆14Jan 17, 2023Updated 3 years ago
- Python scripts for simulating the Balanced Sequence Generator (BSG) introduced in the paper "Movement is governed by rotational neural dy…☆11Oct 21, 2022Updated 4 years ago
- This repository is the official implementation of the TRAC optimizer in Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement …☆36May 18, 2026Updated 5 months ago
- ☆21Jun 22, 2022Updated 4 years ago
- A repo to throw my self driving carnd projects into.☆10Feb 26, 2017Updated 9 years ago
- This repository contains the source code of the paper titled "Optimum trajectory learning in musculoskeletal systems with model predictiv…☆11Jan 30, 2023Updated 3 years ago
Are these results useful?