Stars
ATProto Feed Generator Starter Kit
Node.js database migration management for PostgreSQL
A modern Wine wrapper for macOS built with SwiftUI
A playbook for systematically maximizing the performance of deep learning models.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Implementation of the Tolman Eichenbaum Machine in pytorch
A macOS app for customizing which browser to start
Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
Python implementation of the Leabra framework
World Models Experiments
Thrilling tales of heroic feats by ML's larger-than-life champions.
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
Advanced Deep Learning and Reinforcement Learning 2018 Assignments
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and co…
Simple and easily configurable grid world environments for reinforcement learning
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"