1410 Open source projects that are alternatives of or similar to Tensorflow_template_application

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

The deeplearning algorithms implemented by tensorflow

Natural Language Processing with TensorFlow, published by Packt

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

Exposes a serialized machine learning model through a HTTP API.

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

A Benchmark of Text Classification in PyTorch

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

Implementation of papers for text classification task on DBpedia

Code for Tensorflow Machine Learning Cookbook

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Spark ML Lib serving library

Sparse learning in TensorFlow using data acquired from Spark.

stock predict by cnn and lstm

Core functionality for the Autonomio augmented intelligence workbench.

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

A scalable inference server for models optimized with OpenVINO™

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

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。

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

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

DELTA is a deep learning based natural language and speech processing platform.

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Implementations of machine learning algorithm by Python 3

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Image Captioning using InceptionV3 and beam search

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

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

Predict Cryptocurrency Price with Deep Learning

CNN-RNN中文文本分类，基于TensorFlow

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

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

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Efficient, transparent deep learning in hundreds of lines of code.

Implementation of Neural Image Captioning model using Keras with Theano backend

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

All about Neural Networks!

Some interesting TensorFlow tutorials for beginners.

The Official Deep Learning Framework for Route-based Place Recognition

keras를 이용한 딥러닝 기초 학습

NN based lossless compression

CNN visualization tool in TensorFlow

Sarcasm detection on tweets using neural network

PyTorch tutorial for learners

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

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

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

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

in progress

CNN, LSTM, NBOW, fasttext 中文文本分类

An Open Source Deep Learning Inference Engine Based on FPGA