Tensorflow 2.x TutorialsTensorFlow 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。
Stars: ✭ 6,088 (+50633.33%)
Dr.sure🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。
Stars: ✭ 365 (+2941.67%)
Machine Learning CollectionA resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Stars: ✭ 883 (+7258.33%)
Math object detectionAn image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Stars: ✭ 52 (+333.33%)
Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (+5775%)
Ml Classifier UiA UI tool for quickly training image classifiers in the browser
Stars: ✭ 224 (+1766.67%)
Ml ClassifierA tool for quickly training image classifiers in the browser
Stars: ✭ 97 (+708.33%)
Tf tutorial plusTutorials for TensorFlow APIs the official documentation doesn't cover
Stars: ✭ 293 (+2341.67%)
content-moderation-image-apiAn NSFW Image Classification REST API for effortless Content Moderation built with Node.js, Tensorflow, and Parse Server
Stars: ✭ 50 (+316.67%)
Tensorflow chessbotPredict chessboard FEN layouts from images using TensorFlow
Stars: ✭ 362 (+2916.67%)
Daily Deeplearning🔥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
Stars: ✭ 381 (+3075%)
generative-art🌈🎨 Generative Art is the idea realized as genetic code of artificial events, as construction of dynamic complex systems able to generate endless variations. This is also a nuxt-module (@luxdamore/nuxt-canvas-sketch) - [three.js, tensorflow.js and gsap are not included].
Stars: ✭ 41 (+241.67%)
tensorflow-practiceTutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.
Stars: ✭ 93 (+675%)
Tensorflow BrasilCódigos e materiais sobre TensorFlow em Português
Stars: ✭ 74 (+516.67%)
Yolov3 Tf2YoloV3 Implemented in Tensorflow 2.0
Stars: ✭ 2,327 (+19291.67%)
DocsTensorFlow documentation
Stars: ✭ 4,999 (+41558.33%)
TF2-GAN🐳 GAN implemented as Tensorflow 2.X
Stars: ✭ 61 (+408.33%)
ChatgirlChatGirl is an AI ChatBot based on TensorFlow Seq2Seq Model. ChatGirl 一个基于 TensorFlow Seq2Seq 模型的聊天机器人。(包含预处理过的 twitter 英文数据集,训练,运行,工具代码,来波 Star 。)QQ群:167122861
Stars: ✭ 105 (+775%)
Gradient-SamplesSamples for TensorFlow binding for .NET by Lost Tech
Stars: ✭ 53 (+341.67%)
NakedtensorBare bone examples of machine learning in TensorFlow
Stars: ✭ 2,443 (+20258.33%)
Cs224dCode for Stanford CS224D: deep learning for natural language understanding
Stars: ✭ 222 (+1750%)
go-mnist-clientTensorFlow serving mnist example client in Go.
Stars: ✭ 16 (+33.33%)
IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
Stars: ✭ 4,955 (+41191.67%)
Dlpython courseПримеры для курса "Программирование глубоких нейронных сетей на Python"
Stars: ✭ 266 (+2116.67%)
AndroidtensorflowmnistexampleAndroid TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
Stars: ✭ 449 (+3641.67%)
Docs L10nTranslations of TensorFlow documentation
Stars: ✭ 262 (+2083.33%)
Seq2seq Signal PredictionSignal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Stars: ✭ 890 (+7316.67%)
yoloimplement yolo v1
Stars: ✭ 39 (+225%)
Tensorflow CmakeTensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake
Stars: ✭ 418 (+3383.33%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+34250%)
image-classifier-serviceSorting my messed folder where I put my holidays pictures was not fun. My computer made the trick for me with Deep Learning!
Stars: ✭ 31 (+158.33%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+56533.33%)
qaTensorFlow Models for the Stanford Question Answering Dataset
Stars: ✭ 72 (+500%)
Machine Learning Book《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!
Stars: ✭ 616 (+5033.33%)