Introduction to AI
☆41Apr 28, 2025Updated last year
Alternatives and similar repositories for SEMT20003
Users that are interested in SEMT20003 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆11May 22, 2020Updated 6 years ago
- ☆13Mar 21, 2023Updated 3 years ago
- ☆10Apr 5, 2022Updated 4 years ago
- Package to Train LANs (Likelihood approximation networks)☆16Jun 8, 2026Updated last week
- Machine Learning Reading Group☆11Sep 15, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tools for computational psychiatry research.☆12Dec 8, 2024Updated last year
- RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning☆19May 24, 2023Updated 3 years ago
- 记事本，提醒☆12Jan 16, 2025Updated last year
- Spike sorter for electrophysiology data☆11Apr 27, 2018Updated 8 years ago
- Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)☆16Dec 12, 2017Updated 8 years ago
- Evaluation of Neural Networks for Classifying Electroencephalography (EEG) Data☆11Mar 15, 2022Updated 4 years ago
- Rmarkdown template for University of Bristol thesis☆16Feb 13, 2023Updated 3 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 5 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Multi-robot Reinforcement Learning Scalable Training School (MRST) is a training and evaluation platform for reinforcement learning rease…☆11Sep 6, 2022Updated 3 years ago
- Cooperation and Fairness in Multi-Agent Reinforcement Learning☆16Aug 6, 2025Updated 10 months ago
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆17Mar 1, 2023Updated 3 years ago
- Second Training Course on Neural Modeling and Programming. 第二届神经计算建模及编程培训班.☆20Dec 20, 2023Updated 2 years ago
- ☆23Dec 8, 2025Updated 6 months ago
- Pointax: PointMaze Environment for JAX☆28Oct 22, 2025Updated 7 months ago
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Dec 10, 2018Updated 7 years ago
- Solar Photovoltaic Distributed Energy Resource environment for Open AI Gym☆14Oct 15, 2020Updated 5 years ago
- Reinforcement learning tutorial☆24Jul 22, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆36Oct 31, 2024Updated last year
- Simulation Streams is a programming paradigm designed to efficiently control and leverage Large Language Models (LLMs) for complex, dynam…☆27Mar 13, 2025Updated last year
- Formal Contracts for Multi-Agent Reinforcement Learning☆20Oct 24, 2023Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆19Aug 20, 2023Updated 2 years ago
- ☆13Apr 29, 2021Updated 5 years ago
- Power Systems environment for OpenAI Gym☆18Apr 2, 2019Updated 7 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆23Apr 16, 2022Updated 4 years ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆20Dec 5, 2022Updated 3 years ago
- ☆40Oct 30, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code repository for "N-agent Ad Hoc Teamwork" paper (Wang et al., Neurips 2024).☆26Oct 2, 2025Updated 8 months ago
- Repo for the paper "A tutorial on open-source large language models for behavioral science"☆43Sep 2, 2024Updated last year
- This is an introductory course on Power systems analysis given at Master's level at ULiège.☆23Dec 8, 2025Updated 6 months ago
- Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous …☆24Mar 6, 2021Updated 5 years ago
- ☆21Mar 5, 2023Updated 3 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆39Sep 7, 2023Updated 2 years ago
- This is the implementation for the paper: A CNN-GRU approach to capture time-frequency pattern interdependence for snore sound classifica…☆22Nov 25, 2020Updated 5 years ago