5998 Open source projects that are alternatives of or similar to Deep Learning Coursera

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Inference Code for Polygon-RNN++ (CVPR 2018)

Implementing Siamese networks with a contrastive loss for similarity learning

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

An introduction to network analysis and applied graph theory using Python and NetworkX

Gaussian Process Optimization using GPy

Stock Price Prediction using Machine Learning Techniques

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Learn how to responsibly deliver value with ML.

Slides and code from our TensorFlow workshop.

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

TensorForce Bitcoin Trading Bot

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Practice your pandas skills!

Feature exploration for supervised learning

Generative Adversarial Networks implemented in PyTorch and Tensorflow

台湾大学李宏毅老师机器学习

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Simple tutorials using Google's TensorFlow Framework

cuGraph - RAPIDS Graph Analytics Library

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

中文 Python 笔记

A collection of miscellaneous thoughts that aren't on my blog.

Project for Digital Image Processing

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Code for Tensorflow Machine Learning Cookbook

Repository containing notebooks of my posts on Medium

Code, data, and instructions for mapping orbits of asteroids in the solar system

Learn Julia via interactive tutorials!

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Keras documentation, hosted live at keras.io

Stuff going through my mind

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

General Assembly's Data Science course in Washington, DC

Examples of matplotlib codes and plots

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

以撸代码的形式学习Python

The Udacity open source self-driving car project

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

From the basics to slightly more interesting applications of Tensorflow

An ongoing list of pandas quirks

Learning numerical computing with notebooks for all ages.

Notebooks based on financial machine learning.

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

深度学习在推荐系统中的应用及论文小结。

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

A framework for data augmentation for 2D and 3D image classification and segmentation

记录Learning from data一书中的习题解答

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube