6708 Open source projects that are alternatives of or similar to Alphatools

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

pandas中文教程

♾️ CML - Continuous Machine Learning | CI/CD for ML

Visual Question Answering Demo on pretrained model

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

中国的Quant相关资源索引

A collection of notebook to learn the Applied Predictive Modeling using Python.

Open source ultrasound processing modules and building blocks

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

R client for the Elasticsearch HTTP API

Pytorch implementation of set transformer

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

A Julia package for Gaussian Processes

Urban Informatics and Visualization (UC Berkeley CP255)

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

Tutorial on "Modern Optimization Methods in Python"

Materials for PyCon 2017 presentation on optimizing Pandas code

A sample code of data augmentation methods for wearable sensor data (time-series data)

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

How to do Unsupervised Clustering with Keras

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

A fast, extensible, transparent python library for backtesting quantitative strategies.

Tools, wrappers, etc... for data science with a concentration on text processing

Deep learning based speech source separation using Pytorch

Natural Language Processing with TensorFlow, published by Packt

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

code for reading and processing Allen Institute for Brain Science data

Apache Spark (PySpark) Practice on Real Data

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Ropsten public testnet PoW chain

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Build a CNN network to predict 3D bounding box of car from 2D image.

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

A crash course in six episodes for software developers who want to become machine learning practitioners.

🎄 Virtual DOM for Python

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!

基于Python的开源量化交易平台开发框架

General Assembly's Data Science course in Washington, DC

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

主要存储Datawhale组队学习中“推荐系统”方向的资料。

Stanford

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Getting start with PySpark and MLlib

A python package that includes many methods for decoding neural activity

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

Scripts/Notebooks used for my articles published on Medium

Repository containing files for my PyCon 2014 scikit-learn tutorial.

scikit-learn wrappers for Python fastText.

retrain gpt-2 in colab

Library for Semi-Automated Data Science

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

⚾🤖⚾ Automatic baseball pitching overlay in realtime

An electronic simulation library written in pure Python

a toolkit for working with Oxford nanopore data

Experimental algorithms. Unsupported.

Building QA system for Stanford Question Answering Dataset