oraclesoon

oraclesoon's Stars

• PacktPublishing/Python-Machine-Learning-Cookbook

  Code files for Python-Machine-Learning-Cookbook

  Language:Python447385

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.2k

• wine-mirror/wine

  Language:C3.1k1k

• JordiCorbilla/stock-prediction-deep-neural-learning

  Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

  Language:Jupyter Notebook491107

• PacktPublishing/Python-Machine-Learning-Cookbook-Second-Edition

  Language:Python6054

• ta4j/ta4j

  A Java library for technical analysis.

  Language:Java2k709

• jeog/TOSDataBridge

  A collection of resources for pulling real-time streaming data off of TDAmeritrade's ThinkOrSwim(TOS) platform; providing C, C++, Java and Python interfaces.

  Language:C++31869

• Seburath/Python-MT4

  Simple MQL Socket Server for a Python Client

  Language:MQL5712

• mikha-dev/mt4-websockets

  Turns Metatrader4/MetaTrader5 into web socket client

  Language:C++7555

• jpbarrette/curlpp

  C++ wrapper around libcURL

  Language:C++1.7k352

• saleyn/curl-mt4

  CURL interface API for MT4

  Language:C++65

• PacktPublishing/Hands-On-Financial-Trading-with-Python

  Hands-On Financial Trading with Python, published by Packt

  Language:Jupyter Notebook215118

• cool-RR/PySnooper

  Never use print for debugging again

  Language:Python16.3k951

• yuliskov/SmartTubeLegacy

  Watch YouTube videos on your TV and set-top-box with comfort

  Language:JavaScript4.4k598

• weslynn/AlphaTree-graphic-deep-neural-network

  AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

  2.7k590

• mahmoud/awesome-python-applications

  💿 Free software that works great, and also happens to be open-source Python.

  Language:Jupyter Notebook16.6k2.7k

• TrickyGo/Dive-into-DL-TensorFlow2.0

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

  Language:Jupyter Notebook3.8k820

• sam0737/brownbag

  6111

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML8.9k1.4k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k12.9k

• gto76/python-cheatsheet

  Comprehensive Python Cheatsheet

  Language:Python36.1k6.4k

• ChronixDB/chronix.fastdtw

  An implementation of the Fast DTW algorithm used in Chronix.

  Language:Java155

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k25.3k

• HunterMcGushion/hyperparameter_hunter

  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

  Language:Python704100

• robertmartin8/MachineLearningStocks

  Using python and scikit-learn to make stock predictions

  Language:Python1.7k505

• MorvanZhou/tutorials

  机器学习相关教程

  Language:Python11.7k5.7k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.7k12.7k

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.5k1.3k

• instillai/machine-learning-course

  :speech_balloon: Machine Learning Course with Python:

  Language:Python7k1.3k