6856 Open source projects that are alternatives of or similar to Machine Learning And Data Science

Repository containing monthly challenges about quantum computing.

Codes for my mathematical statistics course

A curated list of awesome scientific Python resources

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

Machine learning lessons and teaching projects designed for engineers

I use this repository for my Youtube channel where I share videos about Artificial Intelligence. The repository includes Machine Learning, Deep Learning, and Reinforcement learning's code.

🎁 3,000,000+ Unsplash images made available for research and machine learning

Physical Optics Propagation in Python

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

Udacity 2018 Machine Learning Nanodegree Capstone project

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

How to Win a Data Science Competition: Learn from Top Kagglers

A streamlined library for getting historical financial price data, fundamental data, and financial ratios.

Plot your data by Unicode characters

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

Tensor Network Learning with PyTorch

Tutorials and content created by Earth Engine users, for Earth Engine users

Interactive Azure Sentinel Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors.

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

BNLP is a natural language processing toolkit for Bengali Language.

High-quality Neural Networks for Computer Vision 😎

My solutions to DataCamp projects (now only Python)

experiments and snippets used on the blog

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

A tool for building feature stores.

Baselines for the Image Matching Benchmark and Challenge

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

Image-Scaling Attacks and Defenses

The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

Four Courses Specialization Tensorflow in practise Specialization

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

Linux Integrated System Analysis

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

抓点什么玩玩～

neural networks to learn Koopman eigenfunctions

State-of-the art Automated Machine Learning python library for Tabular Data

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

Python code for various NLP metrics

Arduino library for MAX30100, integrated oximeter and heart rate sensor

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

利用python来分析一些财务报表数据

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Stock Analysis Tutorial in Python

Practical Notebooks for the Deep Learning Indaba 2018

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).

Machine Learning for High Energy Physics.

Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018

Understanding normalizing flows

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

Jupyter Notebooks for CMU Computational Photography Course 15.463