956 Open source projects that are alternatives of or similar to deep-improvisation

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

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

Jupyter notebook series for machine learning and deep learning.

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

TensorFlow template application for deep learning

Live Training by Packt, with Jeffrey Yau.

LSTM and QRNN Language Model Toolkit for PyTorch

Bidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Autonomous driving neural network comparison tool

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

COX Proportional risk model and survival analysis implemented by tensorflow.

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

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

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

Sarcasm Detection for Sentiment Analysis

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.

Transliterating English to Hindi using Recurrent Neural Networks

Char RNN Language Model based on Tensorflow

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Aircraft engine failure prediction model

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

This repository contains notes and projects of Data scientist track from dataquest course work.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

DSTC6: End-to-End Conversation Modeling Track

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

Recognition of Sign Language using Capsule Networks

convolutional lstm implementation in pytorch

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

datagrand 2019 information extraction competition rank9

Train your own data with MatConvNet

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Anomaly detection for streaming data using autoencoders

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

An open-source Python package for making computer vision and image processing simpler

No description or website provided.

GANs for time series generation in pytorch

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

The deeplearning algorithms implemented by tensorflow

No description or website provided.

LSTM to predict wind speed

DeepDetect performance sheet

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Deep Character CNN LSTM Encoder with Classification and Similarity Models

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

A package to structure Australian addresses

Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.