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Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
Implementation of the Option-Critic Architecture on the Atari (ALE) environment
PyTorch implementation of the Option-Critic framework, Harb et al. 2016
A theoretical and practical deep dive into Reinforcement Learning with Human Feedback and it’s applications in Large Language Models from scratch.
Minimal implementation of Modern Hopfield Networks in PyTorch
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Python Implementation of Reinforcement Learning: An Introduction
Anthropic's Interactive Prompt Engineering Tutorial
Simple and easily configurable grid world environments for reinforcement learning
A collection of multi agent environments based on OpenAI gym.
A concise, beginner-friendly introduction to the core ideas of linear algebra.
A unified interface for simulating and evaluating sequential sampling models in Julia.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Données et représentations à propos de l'emploi dans l'ESR.
A playbook for systematically maximizing the performance of deep learning models.
A collaborative note taking, wiki and documentation platform that scales. Built with Django and React.
A template for writing your thesis with LaTeX in VS Code
Style guides for Google-originated open-source projects
A python implementation of the leaky, competing, accumulator (Usher, & McClelland, 2001).
Set of robotic environments based on PyBullet physics engine and gymnasium.
A simple toolbox for displaying random dot motion stimuli
a random dot kinematogram (RDK) implemented with PyGame
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)