6978 Open source projects that are alternatives of or similar to Tensorflow Mnist Tutorial

Translations of TensorFlow documentation

Accompanying notebook for the Entailment with Tensorflow article.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A Tutorial for Serving Tensorflow Models using Kubernetes

Predict chessboard FEN layouts from images using TensorFlow

Notebook for my medium article about how to use Dataset API in TensorFlow

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

TensorFlow Tutorial for Time Series Prediction

TensorFlow Tutorials

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Fish detection using Open Images Dataset and Tensorflow Object Detection

Self hosted alternative to Google Photos

Collection of presentations for advanced Python topics

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

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

Códigos e materiais sobre TensorFlow em Português

Tutorials for TensorFlow APIs the official documentation doesn't cover

Material for the tutorial: "Deep Diving into GANs: from theory to production"

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

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

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

Some interesting TensorFlow tutorials for beginners.

TensorFlow documentation

Duke-Tsinghua Machine Learning Summer School 2017

Lab Materials for MIT 6.S191: Introduction to Deep Learning

📚 Various cheatsheets in PDF

YoloV3 Implemented in Tensorflow 2.0

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Boilerplate for Deep Learning Projects

Tree detection

Heterogeneous Multi-output Gaussian Processes

A collection of notebooks of my Machine Learning class written in python 3

Full Stack Deep Learning August 2018 Bootcamp Project (Public)

Train multi-task image, text, or ensemble (image + text) models

University management platform dedicated for post-graduation in computer science field using django rest framework.

Build a recommendation engine with Spark and Watson Machine Learning

We're going to take you step-by-step to build a modern, fully open-source, eCommerce web application using Python, Django, Bootstrap, Javascript, and more.

WARP loss for Pytorch as described by the paper: WSABIE: Scaling Up To Large Vocabulary Image Annotation

The implementation of Relativistic average GAN with Keras

Code repository for Deep Learning with Keras published by Packt

📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like previous close price, actual previous close price, open price, market capitalization, total market value, price-to-earning ratio and price-to-book ratio, along with corresponding Sina Weibo and Baidu News sentiment scores.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

This repo has moved 🏠 Visit our website for the latest SDKs & Samples

一份不断完善的NLP学习笔记

stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables

A book about machine learning, statistics, and data mining for heliophysics

A Tensorflow 2.0 implementation of Graph Isomorphism Networks.

Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone

Convert text file to handwritten pdf file