robin-ml Goto Github PK

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

atari

AI research environment for the Atari 2600 games 🤖.

autoencoder-image-retrieval

Implementation of a very simple unsupervised image retrieval system using only a convolution autoencoder and the KNN algorithm.

bnn

Bayesian neural network is a stochastic artificial neural network trained using Bayesian inference

cat-dog_classifier

cat and dog image classifier, using only very few training examples

gan

PyTorch implementations various forms of GAN .

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image-classifier

CNN for 99 percent accuracy for MNIST with TensorFlow

jax_muzero

An implementation of MuZero in JAX.

mpo

PyTorch Implementation of the Maximum a Posteriori Policy Optimisation

muzero

A structured implementation of MuZero in Pytorch for solving CartPole gym environment

muzero-2

A simple implementation of MuZero algorithm for connect4 game

muzero-general

MuZero solves this problem by learning a model that focuses only on the most important aspects of the environment for planning.

mxnet-notebooks

Notebooks for MXNet

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

omega

A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.

pyqentangle

Quantum Entanglement in Python

quantum-python-lectures

A series of self-study lectures on using Python for scientific computing at the graduate level in atomic physics and quantum optics.

quantum_simulation

A simulation for the evolution of a wavefunction under the Schrodinger equation.

rl-policy-gradient

Policy gradient algorithms in reinforcement learning is an approach to solve reinforcement learning problems by finding an optimal policy. A policy tells us how to act from a particular state

segnet

sonnet

TensorFlow-based neural network library

stock-prediction

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tutorial-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

uct