charon: Symbolic regression accelerated with CUDA

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

A PyTorch implementation of the SciNet Paper

Selecting single stock in China stock market

Selecting single stock in China stock market

Genetic Algorithm for Gekko Trading Bot.

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

Early POC of genetic neural architecture search

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

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

Deepfakes Software For All

Deep Learning and deep reinforcement learning research papers and some codes

Interesting python codes to tackle simple machine/deep learning tasks

Deep Learning Tutorial notes and code. See the wiki for more info.

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

Deep Learning for humans

Deep Reinforcement Learning for Keras.

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

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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

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

Syntactic search tool to explore and retrieve information from time series

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

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

Python package for stacking (machine learning technique)

ML-Ensemble – high performance ensemble learning

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码:cat2:

Online Portfolio Selection toolbox