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

https://habr.com/ru/post/276725/

Slides and code from our TensorFlow workshop.

Automatic extraction of relevant features from time series:

Domain-Adversarial Neural Network in Tensorflow

Person Re-ranking (CVPR 2017)

Models and examples built with Swift for TensorFlow

Abuse of Google Colab for cracking hashes. 🐧

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

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

An autonomous AI racecar using NVIDIA Jetson Nano

TernausNetV2: Fully Convolutional Network for Instance Segmentation

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

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Notebooks and code for the book "Introduction to Machine Learning with Python"

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

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

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

My blogs and code for machine learning. http://cnblogs.com/pinard

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

TensorForce Bitcoin Trading Bot

Automatically generate headlines to short articles

Early stopping for PyTorch

A collection of notebooks for Natural Language Processing from NLP Town

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

Tensorflow tutorial of building different dynamic recurrent neural network

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

Practice your pandas skills!

用keras实现OCR定位、识别

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Simple tutorials for building neural networks with TensorFlow Eager mode.

Feature exploration for supervised learning

Scikit-learn tutorial at SciPy2016

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Solutions to all quiz and all the programming assignments!!!

Generative Adversarial Networks implemented in PyTorch and Tensorflow

PyBites Code Challenges

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

台湾大学李宏毅老师机器学习

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

My implementations of cs231n 2017

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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

Financial data reader

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

Jupyter notebooks for learning how to use SimpleITK

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

A couple of simple GANs in Keras

Deep Learning Cookbox

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Simple tutorials using Google's TensorFlow Framework

Numerical Tours of Signal Processing

MLOps examples

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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.

The Ada Developers Academy Jump Start program, which is intended for anyone who is interested in beginning their journey into coding.

📘 The interactive computing suite for you! ✨

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

Deep NLP Course