918 Open source projects that are alternatives of or similar to Tensorflow-Wide-Deep-Local-Prediction

How to use TensorLayer

An 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.

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

TensorFlow template application for deep learning

Balanced Multiclass Image Classification with TensorFlow on Python.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

A tool for quickly training image classifiers in the browser

A UI tool for quickly training image classifiers in the browser

Tensorflow 免费中文视频教程，开源代码，免费书籍.

Lets Learn AI

Tensor Flow implementation for Android

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🏫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。

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

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

TensorFlow documentation

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。

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

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This is where I put all my work in Natural Language Processing

源码实现：《TensorFlow实战》黄文坚，唐源 著

Samples for TensorFlow binding for .NET by Lost Tech

📸 A simple application to demonstrate TensorflowJS using mobile net model to predict objects via camera API.

YoloV3 Implemented in Tensorflow 2.0

Code for Stanford CS224D: deep learning for natural language understanding

Tutorials for TensorFlow APIs the official documentation doesn't cover

Examples showcasing model deployment

🔥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

How to train a Tensorflow face object detection model

Android TensorFlow Lite Machine Learning Example

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

This repo contains all of my TensorFlow tutorials

Sorting my messed folder where I put my holidays pictures was not fun. My computer made the trick for me with Deep Learning!

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Binary Image Classification in TensorFlow

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

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ChatGirl 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

TensorFlow implementation of a Neural Turing Machine

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Swift high-level API for TensorFlow.

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

TensorFlow examples

Curated Tensorflow code resources to help you get started with Deep Learning.

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

🐳 GAN implemented as Tensorflow 2.X

TensorFlow serving mnist example client in Go.

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An NSFW Image Classification REST API for effortless Content Moderation built with Node.js, Tensorflow, and Parse Server

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Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

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Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.

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🌈🎨 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].

Python script using Keras + TensorFlow to train a custom machine learning model to recognize faces using a dataset with human faces and labeled with emotions.