6517 Open source projects that are alternatives of or similar to Gym_trading

Application of machine learning to the Coinbase (GDAX) orderbook

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

Bitstamp real time console based limit order book

Kaggle Quora Questions Pairs Competition

CATEd - Cryptocurrency Analytics and Trading Engine for Django

Videos of deep learning optimizers moving on 3D problem-landscapes

Tianchi medical AI competition [Season 1]: Lung nodules image segmentation of U-Net. U-Net训练基于卷积神经网络的肺结节分割器

Microscopy Image Cytometry Toolkit

100+ python programming exercise problem discussed ,explained and solved in different ways

Generating Captions for images using Deep Learning

scaffold of Apache Airflow executing Docker containers

基于李笑来的那本自学是一门手艺的书，然后里面有自己修改的痕迹，以及更多的资料。

Gamified tutorial for the QISKit quantum SDK

Discovering Interpretable GAN Controls [NeurIPS 2020]

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

Koç University deep learning framework.

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

《Python工具代码速查手册》是我们的python培训教材，主要面向数据分析方向。其中包含了python的常用总结性操作，使用jupyter notebook，利用markdown和script结果对常用操作进行总结，包括了使用方式和脚本。之所以使用notebook形式是可以方便大家编辑，方便大家形成自己的总结笔记。当然各位有更好的操作建议也欢迎向我们团队分享~

Reinforcement learning tutorials

COVID-19 workflows and datasets.

适合初级到中级晋升者，有了体系之后就看熟练度了。

Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop

An LSTM Autoencoder for rare event classification

Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.

Convolutional Gaussian processes based on GPflow.

Machine learning projects, often on audio datasets

Numerical simulations using flexible Lattice Boltzmann solvers

Gemfield homework or libgemfield.so

statistics and classes for exploratory spatial data analysis

Book sample (AI Machine-learning Deep-learning)

Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)

Compressed Sensing MRI based on Deep Generative Adversarial Network

A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Inference case studies in jupyter

My repository for the Carvana Image Masking Challenge

Place for resources used during the Mordor Detection hackathon event featuring APT29 ATT&CK evals datasets

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ

Software for the visualization of sequence-function relationships

It is the DKT+ model implemented in python3 and tensorflow1.2

Caffe implementation of Mobilenet-SSD face detector (NCS compatible)

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

机器学习实战

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

TensorFlow Tutorials with YouTube Videos