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Top 6423 machine-learning open source projects

Laurae
Advanced High Performance Data Science Toolbox for R by Laurae
Estadistica Con R
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Aind Nlp
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Awesome Adversarial Examples Dl
A curated list of awesome resources for adversarial examples in deep learning
Ten Rules Jupyter
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Split Folders
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
Tech.ml.dataset
A Clojure high performance data processing system
Implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Awesome Deep Learning And Machine Learning Questions
【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
Openml Python
Python module to interface with OpenML
Speaker Recognition Py3
Base on MFCC and GMM(基于MFCC和高斯混合模型的语音识别)
Awesome Quant
中国的Quant相关资源索引
Bayesianrecurrentnn
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Urduhack
An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
Coqgym
A Learning Environment for Theorem Proving with the Coq proof assistant
Healthcareai R
R tools for healthcare machine learning
Sdc Lane And Vehicle Detection Tracking
OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars
Facerec
A Tensorflow implementation of Facial Recognition in Python
Machine Learning With Python Cookbook Notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
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.
Radio
RadIO is a library for data science research of computed tomography imaging
Cornell Moe
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
S Vae Tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Stock Selection A Framework
This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
Atari Model Zoo
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Data Science Projects With Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
Amazing Machine Learning Opensource 2019
Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
Ml
Codes related to various ML Hackathons
Clearml
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Hsuantienlin machinelearning
No description or website provided.
Explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
Acurustrack
A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.
Python Torchfile
Deserialize Lua torch-serialized objects from Python
100daysofcode
#100DaysOfCode - Learn by developing 100 unique apps to explore exciting tech stacks
Shallowlearn
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Pygpgo
Bayesian optimization for Python
Paac
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
Freezeout
Accelerate Neural Net Training by Progressively Freezing Layers
Vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
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