Asynchronous Method for Deep Reinforcement Learning
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Updated
Oct 18, 2017 - Python
Asynchronous Method for Deep Reinforcement Learning
Implementing DeepMind's Fast Reinforcement Learning paper, and adding additional features to generalize the algorithms
An implementation of the Differential Neural Computer (DNC) in TensorFlow
Open-zero is a research project aiming to realize the various projects of the company DeepMind
A customizable 3D platform for agent-based AI research
hyper optimized alpha zero implementation to play gomoku (distributed training with ray, mcts with cython)
I've created Gemini-PHP, a PHP application tailored to seamlessly integrate with the Gemini API. With this tool, users can effortlessly generate content based on their prompts.
A TensorFlow implementation of DeepMind's WaveNet paper
Deep Learning Lecture Notes and Code
RocAlphaGo with date of death of Samatha Smith in Python 3.x
Unofficial code for the deep reinforcement model Agent57.
This repository is the implementation of the paper Semi-Supervised Classification With Graph Convolutional Networks (aka GCN) by Kipf et al., ICLR 2017.
A python JAX implementation of the paper: Kaiser, L., Babaeizadeh, M., Milos, P., Osinski, B., Campbell, R.H., Czechowski, K., Erhan, D., Finn, C., Kozakowski, P., Levine, S. and Mohiuddin, A., 2019. Model-based reinforcement learning for atari. arXiv preprint arXiv:1903.00374.
My Code Implementation For RC2020
Keras and PyTorch implementations for Google's WaveNet
Creating a mini version of Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
PyTorch Implementation of Relation Network on Sort-of-CLEVR Dataset
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