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Name: Gu Feng
Type: User
Bio: I am currently a master student in UTokyo, working on BCI.
Gu Feng's Projects
a3c
Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
acer
Actor-critic with experience replay
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
braindecode
A deep learning toolbox to decode raw time-domain EEG.
deep-reinforcement-learning-in-stock-trading
Using deep actor-critic model to learn best strategies in pair trading
deep-rl
Collection of Deep Reinforcement Learning algorithms
deeprl
Highly modularized implementation of popular deep RL algorithms by PyTorch
keras-gan
Keras implementations of Generative Adversarial Networks.
knowledge-distillation-keras
A machine learning experiment
local-relational-nets
A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
pytorch-dqn
Deep Q-Learning Network in pytorch
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
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