walkacross Goto Github PK
Type: User
Bio: machine learning engineer; financial quantitative strategy developer
Location: Shenzhen, China
walkacross's Projects
aa203-examples
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
advanced-bandit-problems
More about the exploration-exploitation tradeoff with harder bandits
ai-4-trading
Project work for Udacity AI for Trading nano degree
ai-for-trading
code repository for Udacity nanodegree Artificial Intelligence for Trading
alpha-zero
My attempt to implement alphazero algorithm from DeepMind in C++ and Libtorch
an-application-of-deep-reinforcement-learning-to-algorithmic-trading
Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
annotated-minitorch
The full minitorch student suite.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
artificial-intelligence-for-trading
Content for Udacity's AI in Trading NanoDegree.
autograd
coding an autograd from scratch
awesome-python-tutorials
clean and up-to-date tutorials
awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
awesome-rl
Reinforcement learning resources curated
awesome-rl-for-trading
awesome reinforcement learning for trading domain
babyrobot
A Baby Robot's Guide to Reinforcement Learning
bandit-algorithm-in-stock-selection
Use bandit algorithm to train an agent that can do investment like human being
baruch-mfe-lab
Baruch MFE program quant lab
beauty_sentence_in_deep_learning
beauty_sentence_in_deep_learning
boilerplate_pybind_cmake
A boilerplate for a simple C++ project with PyBind11 bindings, built with CMake.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
cherry
PyTorch Reinforcement Learning Framework for Researchers
clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement
cmake-examples
Useful CMake Examples
cmake_cpp_pybind11_tutorial
Tutorial for wrapping C++ library into Python using pybind11 and CMake
cme212-
CME212 Course Information
cnn_tsc
A CNN for time-series classification
cppgym
C++ Gym for Reinforcement Learning
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