1626 Open source projects that are alternatives of or similar to Sangita

Named Entity Recognition using multilayered bidirectional LSTM

The Official Deep Learning Framework for Route-based Place Recognition

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

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

PyTorch tutorial for learners

List of papers, code and experiments using deep learning for time series forecasting

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Application of machine learning to the Coinbase (GDAX) orderbook

Visualizing RNNs using the attention mechanism

A Python package for gender classification.

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

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

How to build RNNs and LSTMs from scratch with NumPy.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Implementation of character based convolutional neural network

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

A curated list of dedicated resources and applications

Using LSTM network for time series forecasting

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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

Lightweight C++11 library for building deep recurrent neural networks

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

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.

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

Attention-based multimodal fusion for sentiment analysis

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

A collection of Natural language processing pre-trained models.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

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).

A Keras library for multi-step time-series forecasting.

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

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

🥕 Evolutionary Neural Networks in JavaScript

Data-centric declarative deep learning framework

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

ByteNet for character-level language modelling

⏰ AI conference deadline countdowns

Anomaly detection implemented in Keras

Keras tutorial for beginners (using TF backend)

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Machine Reading Comprehension in Tensorflow

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

This is an open sourced book on deep learning.

Deep neural models for core NLP tasks (Pytorch version)

A curated list of awesome Distributed Deep Learning resources.

RMDL: Random Multimodel Deep Learning for Classification

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

🔮Deep Learning for text made easy with AllenNLP

This repo contains implementation of different architectures for emotion recognition in conversations.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Named Entity Recognition with RNN, implemented by Chainer