thatalfredh

thatalfredh's Stars

• facebook/create-react-app

  Set up a modern web app by running one command.

  Language:JavaScript103k1.9k8.3k26.9k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k2452.6k3.3k

• jupyterlab/jupyterlab

  JupyterLab computational environment.

  Language:TypeScript14.3k3068.6k3.4k

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.3k1216531.1k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k146452735

• hudson-and-thames/mlfinlab

  MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

  Language:Python4k1752691.2k

• mhallsmoore/qstrader

  QuantStart.com - QSTrader backtesting simulation engine.

  Language:Python3k270231857

• CyberZHG/keras-bert

  Implementation of BERT that could load official pre-trained models for feature extraction and prediction

  Language:Python2.4k59204513

• BrikerMan/Kashgari

  Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

  Language:Python2.4k65377442

• maxpumperla/hyperas

  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

  Language:Python2.2k63257318

• rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

  Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

  Language:Jupyter Notebook2k1004670

• maxpumperla/elephas

  Distributed Deep learning with Keras & Spark

  Language:Python1.6k102159310

• MLWave/Kaggle-Ensemble-Guide

  Code for the Kaggle Ensembling Guide Article on MLWave

  Language:Python1.6k527556

• cbailes/awesome-deep-trading

  List of awesome resources for machine learning-based algorithmic trading

  1.5k750309

• amaiya/ktrain

  ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

  Language:Jupyter Notebook1.2k35497268

• maxpumperla/deep_learning_and_the_game_of_go

  Code and other material for the book "Deep Learning and the Game of Go"

  Language:Python9947487390

• Separius/BERT-keras

  Keras implementation of BERT with pre-trained weights

  Language:Python8133123196

• mhallsmoore/qsforex

  QuantStart Forex Backtesting and Live Trading

  Language:Python78415943355

• dzitkowskik/StockPredictionRNN

  High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

  Language:Python707699278

• yzhao062/combo

  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination

  Language:Python6423017106

• areed1192/interactive-broker-python-api

  A python packaged used to interact with the Interactive Brokers REST API.

  Language:Python3912730124

• bloomberg/quant-research

  A collection of projects published by Bloomberg's Quantitative Finance Research team.

  Language:Jupyter Notebook106121827

• dmackenz/Keras-Neuro-Evolution-Trading-Bot-Skeleton

  A skeleton for creating a neuro-evolution reinforcement learning trading bot with a Keras neural network.

  Language:Python9814234

• declare-lab/hfusion

  Multimodal sentiment analysis using hierarchical fusion with context modeling

  Language:Python444522

• maxpumperla/neuralforecast

  Time Series Prediction: A Non Linear Approach with Neural Networks

  Language:Python35709

• MartinLidy/LSTM-GA-StockTrader

  A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods

  Language:Python289020

• rosdyana/CNN-Financial-Data

  Deep Trading using Convolutional Neural Network

  Language:Jupyter Notebook277014

• SenticNet/multimodal-fusion

  Attention-based multimodal fusion for sentiment analysis

  Language:Python13203

• chinux23/historicaldata

  Historical Data

  30

• SenticNet/natural-language-based-financial-forecasting

  Language:Jupyter Notebook210