6000 Open source projects that are alternatives of or similar to Tensorflow_learning_notes

Duke-Tsinghua Machine Learning Summer School 2017

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。

《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！

A Tutorial for Serving Tensorflow Models using Kubernetes

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

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

Примеры для курса "Программирование глубоких нейронных сетей на Python"

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

Fish detection using Open Images Dataset and Tensorflow Object Detection

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

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

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

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

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

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

Some interesting TensorFlow tutorials for beginners.

TensorFlow Tutorials

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

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

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

Accompanying notebook for the Entailment with Tensorflow article.

Códigos e materiais sobre TensorFlow em Português

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

Translations of TensorFlow documentation

TensorFlow documentation

Predict chessboard FEN layouts from images using TensorFlow

MNIST classification in Tensorflow using Django

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

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

YoloV3 Implemented in Tensorflow 2.0

Tutorials for TensorFlow APIs the official documentation doesn't cover

🔥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

Facenet implementation by Keras2

Convolutional and LSTM networks to classify human activity

A driving dataset for the development and validation of fused pose estimators and mapping algorithms

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Face Renderer to perform Domain (Face) Specific Data Augmentation

Ephemera and other documentation associated with the 1337list project.

Machine learning course materials.

Paper reading notes on Deep Learning and Machine Learning

ijcai-2018 top1 solution

Production Data Science: a workflow for collaborative data science aimed at production

🎨 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）

Course repo for Applied Natural Language Processing (Spring 2019)

Google Brain AutoML

Reference code for "Motion-supervised Co-Part Segmentation" paper

Methods to get the probability of a changepoint in a time series.

Interactive plotting for Python.

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

TOP250豆瓣电影短评：Scrapy 爬虫+数据清理/分析+构建中文文本情感分析模型

Data & Code for my video on the Pandas library of Python

百度云魅族深度学习应用大赛

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.