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

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

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

CNN-RNN中文文本分类，基于TensorFlow

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

CNN visualization tool in TensorFlow

PyTorch tutorial for learners

An Open Source Deep Learning Inference Engine Based on FPGA

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Converts any data repository to JSON(or atleast strives to!). Currently converts flat-file JSON, flat-file CSV, REST JSON, REST CSV and Databases(via ODBC) to JSON 🔥.

Object localization in images using simple CNNs and Keras

Library that makes it possible to read, edit and write CSV files

Microbenchmarking for Modern C++

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

Mass processing data with a complete ETL for .net developers

Automatic Haskell type inference from JSON input

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Easily encode complex JSON objects to CSV with CsvBuilder's schema-like API

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Explore Action Recognition

Converter from ros bag to csv

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

CNN image classifier implemented in Keras Notebook 🖼️.

TensorFlow code for finetuning I3D model on UCF101.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Command-line CSV processing utility.

Highly optimized inference engine for Binarized Neural Networks

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

基于卷积神经网络的语音识别声学模型的研究

LSTM and QRNN Language Model Toolkit for PyTorch

omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

WinMerge is an Open Source differencing and merging tool for Windows. WinMerge can compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

CouchDB import tool to allow data to be bulk inserted

An open source library for face detection in images. The face detection speed can reach 1000FPS.

React component that handles csv file input and its parsing

An elegant dashboard

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Learning Deep Features for Discriminative Localization (2016)

Using Keras and cats to visualize layers from CNNs

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.

基于CNN的验证码整体识别

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

Deep Learning--深度学习

PyTorch implementation of SIFT descriptor