Open-source implementation of AlphaEvolve

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Reinforcement learning with unsupervised auxiliary tasks

An API conversion tool for popular external reinforcement learning environments

Tensorflow implementation of DeepMind paper - "Learning to Navigate in Complex Environments"

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"

Reinforcement learning in 3D.

A privacy-focused tutoring assistant that explains concepts step-by-step and generates quizzes (MCQs). Works 100% offline with Ollama (Gemma/Llama3).

PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!

Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)

Deepmind lab gym-like wrapper

CS 238 Final Project: Deep Reinforcement Learning Agents that Run with Scissors

Using deepmind lab for RL

A customizable 3D platform for agent-based AI research

Docker hub for easily setting up reinforcement learning research environment

QASM256: A groundbreaking quantum-classical hybrid programming language designed for AI, secure systems, and real-time optimization, pushing the boundaries of innovation across industries.

⭐️ Discover Fantastical 3 the powerful Calendar App v3.6 for macOS users. This release comes with Setup Installer, Activation Key, and License Key Pre-Activated giving you instant access to the Full Version Serial and Latest Build Pro Updated. Perfect for Get Desktop Working macOS 2023 with advanced Task Manager Event Reminders Sync. ⭐️

A document question-answering system that allows users to upload files (PDFs, DOCs, TXTs) and ask questions about their content using RAG (Retrieval-Augmented Generation) with ChromaDB and Gemma.