6614 Open source projects that are alternatives of or similar to Tensorflow Tutorial

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Image Captioning using InceptionV3 and beam search

Natural Language Processing with TensorFlow, published by Packt

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

QA - Answer Selection (Rank candidate answers for a given question)

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

The deeplearning algorithms implemented by tensorflow

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Predict Cryptocurrency Price with Deep Learning

keras를 이용한 딥러닝 기초 학습

Implementation of Neural Image Captioning model using Keras with Theano backend

lidc nodule detection with CNN and LSTM network

PyTorch tutorial for learners

All about Neural Networks!

A neural network that transforms a design mock-up into a static website.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Tutorials for TensorFlow APIs the official documentation doesn't cover

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

CNN+LSTM+CTC based OCR implemented using tensorflow.

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Paper reading notes on Deep Learning and Machine Learning

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Cryptocurrency Price Prediction Using LSTM neural network

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Implementation of a hierarchical CNN based model to detect Big Five personality traits

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

📚 嵌入式系统基础知识与主流编程语言相关内容总结

🔥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

Keras tutorial for beginners (using TF backend)

Sequence-to-Sequence Framework in PyTorch

Predict chessboard FEN layouts from images using TensorFlow

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

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

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

文本情感分析

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

TensorFlow documentation

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

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

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

Music recommender using deep learning with Keras and TensorFlow

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Hierarchical Attention Networks for Document Classification in PyTorch

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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A Benchmark of Text Classification in PyTorch

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

《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！

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