182 Open source projects that are alternatives of or similar to Machine_learning_trading_algorithm

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

A document covering machine learning basics. 🤖📊

simple tutorial on Machine Learning with Scikitlearn

Misc Statistics and Machine Learning codes in R

Go Scoring API for PMML

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

Machine Learning for Spot Prices

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

This program extracts insider trading data from the sec website and stores it in excel file for the specified time frame.

Automatic license plate recognition for Indonesian plate (White on black)

Wolfinch is your friendly trader Bot written in Python

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Machine Learning library written in Python and NumPy.

No description or website provided.

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Building Decision Trees From Scratch In Python

Using LSTM network for time series forecasting

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

🍊 📊 💡 Orange: Interactive data analysis

ML-powered Loan-Marketer Customer Filtering Engine

Building Annoy Index on Apache Spark

bitcoin prediction algorithms

This is the official implementation for the paper 'AutoEncoder by Forest'

An Interactive Approach to Understanding Supervised Learning Algorithms

An Quantatitive trading library for crypto-assets 数字货币量化交易框架

Jupyter Notebooks and miscellaneous

A random forest

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Heart Disease prediction using 5 algorithms

Ruby Scoring API for PMML

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

An end-to-end machine learning and data mining framework on Hadoop

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Conformalized Quantile Regression

Quantitative analysis, strategies and backtests

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Animated Visualizations of Popular Machine Learning Algorithms

InfiniteBoost: building infinite ensembles with gradient descent

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

Machine Learning algorithms coded from scratch

Small JavaScript implementation of ID3 Decision tree

Random Forests for Density Estimation in Python

A fast and easy to use decision tree learner in java

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

several methods for text classification

A tool for visualizing the structure and performance of Random Forests 🌳

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

OCR Machine Learning in python

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.