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annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

anytime-prediction

Code and dataset for the paper "Using Dynamic Neural Networks to Model the Speed-Accuracy Trade-Off in People"

cog

[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

compositional_reinforcement_learning

Deep reinforcement learning-basedskill transfer and composition method

continual_rl

Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

cp

Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".

ctrlbenchmark

Benchmark for Lifelong learning research

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_bisim4control

Learning Invariant Representations for Reinforcement Learning without Reconstruction

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dltemplate

Boilerplate for Deep Learning Projects

experiment-exploratory-analysis

flexmodehc

Flexible modulation of sequence generation in the entorhinal-hippocampal system.

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

gpt3goespsychology

guidance

A guidance language for controlling large language models.

hfsp_exploratory

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

lab

A customisable 3D platform for agent-based AI research

langchain

⚡ Building applications with LLMs through composability ⚡

mamba

multimodal-gamer

A framework to enable multimodal models to play games on a computer.

pavlovian-conditioning-vta-gaba

peko-llama

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

replay

successorrepresentation