6000 Open source projects that are alternatives of or similar to Duke Tsinghua Mlss 2017

Translations of TensorFlow documentation

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

A Tutorial for Serving Tensorflow Models using Kubernetes

Predict chessboard FEN layouts from images using TensorFlow

TensorFlow documentation

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

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

《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！

Примеры для курса "Программирование глубоких нейронных сетей на Python"

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

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

MNIST classification in Tensorflow using Django

Tutorials for TensorFlow APIs the official documentation doesn't cover

YoloV3 Implemented in Tensorflow 2.0

Accompanying notebook for the Entailment with Tensorflow article.

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

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。

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

Fish detection using Open Images Dataset and Tensorflow Object Detection

TensorFlow Tutorials

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

🔥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

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

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

Some interesting TensorFlow tutorials for beginners.

Códigos e materiais sobre TensorFlow em Português

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

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

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

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

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

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

TensorFlow Tutorial for Time Series Prediction

Matplotlib examples to present results.

Python scripts that help me be a successfull meteorologist. (Python 3)

Fancy things you can do in Python to make your life easier

A script for synchronizing the reMarkable e-reader

Tools, libraries and applications to analyze network measurements and detect interference.

Differentiable Data Augmentation Library

Practical sessions for the Optimal Transport and Machine learning course at DS3 2018

A repository to save my machine learning notes.

All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1

Code collection for published blog posts

该仓库尝试整理推荐系统领域的一些经典算法模型

Indonesian Language Models and its Usage

Python Crypto Bot

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

QUAC ("quantitative analysis of chatter" or any related acronym you like) is a package for acquiring and analyzing social Internet content. Docs are online at http://reidpr.github.io/quac.

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019

Stuff for python courses

Object Detection and Analysis Made easy using Raspberry Pi, Apache Kafka, AWS Rekognition & Docker

EfficientNet-GradCam Visualization

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