5998 Open source projects that are alternatives of or similar to Coursera Ml Using Matlab Python

TensorFlow/TensorRT integration

北邮《Python编程与实践》课程资料

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

Python toolkit for quantitative finance

Hierarchical Attention Networks for Document Classification in PyTorch

BERT score for text generation

Some sample IPython notebooks for scikit-learn

Domain-Adversarial Neural Network in Tensorflow

A PyTorch based library for all things neural differential equations

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Notebooks for learning deep learning

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

Digital Signal Processing - Theory and Computational Examples

a tensorflow implementation of WGAN

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

全栈数据工程师养成攻略

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

felixge's notes on the various go profiling methods that are available.

Music recommender using deep learning with Keras and TensorFlow

PyTorch and Tensorflow functional model definitions

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

基于深度学习的开源中文关系抽取框架

Hands-On Machine Learning for Algorithmic Trading, published by Packt

Tooling for GANs in TensorFlow

A template for small scientific python projects

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

The Python Code Tutorials

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Sentiment Analysis Challenge

数据科学的笔记以及资料搜集

Python supercharged for the fastai library

Python library for Multi-Armed Bandits

TensorFlow examples

Deep Learning (with PyTorch)

Project page for "The Fuzzing Book"

The 3rd edition of course.fast.ai

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

python partial dependence plot toolbox

code for deep learning courses

A collection of deep learning tutorials using Tensorflow and Python

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Person Re-ranking (CVPR 2017)

Working with and analyzing Wikipedia Data

Environment for reinforcement-learning algorithmic trading models

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Abuse of Google Colab for cracking hashes. 🐧