bigdatamath's repositories

multiple_factors_models

Selecting single stock in China stock market

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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AmusingPythonCodes

Interesting python codes to tackle simple machine/deep learning tasks

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awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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deep-learning-with-python-notebooks

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

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deepLearning_Interview100questions

七月在线学习整理-深度学习面试100题

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drl-portfolio-management

CSCI 599 deep learning and its applications final project

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faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

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geatpy

A high-performance GEA framework for Python from SCUT, SCAU and Austin students. Welcome to star and fork.

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gekko

A bitcoin trading bot written in node - https://gekko.wizb.it/

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gplearn

Genetic Programming in Python, with a scikit-learn inspired API

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homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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japonicus

Genetic Algorithm for Gekko Trading Bot.

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karoo_gp

A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

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keras

Deep Learning for humans

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keras-rl

Deep Reinforcement Learning for Keras.

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

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Reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

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rl-portfolio-management

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

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Stock-Prediction-Models

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

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symbolic_deep_learning

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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tensorflow_poems

中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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vecstack

Python package for stacking (machine learning technique)

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