7009 Open source projects that are alternatives of or similar to Natural Language Processing With Tensorflow

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Anomaly detection for temporal data using LSTMs

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Tutorials for TensorFlow APIs the official documentation doesn't cover

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Utilities for preprocessing text for deep learning with Keras

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Visualisations for Convolutional Neural Networks in Pytorch

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Intro to deep learning for medical imaging lesson, by MD.ai

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Go binding for TensorFlow Lite

Python for Finance Cookbook, published by Packt

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

Face identification with CNN + TPE using Keras

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Deep learning system course

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

To classify video into various classes using keras library with tensorflow as back-end.

Deep Learning for Land-cover Classification in Hyperspectral Images.

An RNN-based Chinese Poem Generator

A collection of tools to collect and download various data.

Python code for the fast bilateral solver

Auto-ReID and Other Person Re-Identification Projects

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

Visual Search using Apache MXNet and gluon

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

Simple plotting library that wraps Matplotlib and integrated with DataFrames

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Graph Convolution Network for NLP

Text detection model that combines Retinanet with textboxes++ for OCR

Codes related to various ML Hackathons

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

A fast and lightweight AutoML library.

Repository for coursera specialization Applied Data Science with Python by University of Michigan

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

中文情感分析，CNN，BI-LSTM，文本分类