emadRad / Lstm Gru Pytorch
LSTM and GRU in PyTorch
Stars: ✭ 109
Projects that are alternatives of or similar to Lstm Gru Pytorch
Sentiment Analysis Nltk Ml Lstm
Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.
Stars: ✭ 61 (-44.04%)
Mutual labels: jupyter-notebook, lstm
Machine Learning
My Attempt(s) In The World Of ML/DL....
Stars: ✭ 78 (-28.44%)
Mutual labels: jupyter-notebook, lstm
Aiopen
AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。
Stars: ✭ 62 (-43.12%)
Mutual labels: jupyter-notebook, lstm
Rnn Notebooks
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (-55.96%)
Mutual labels: jupyter-notebook, lstm
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-11.93%)
Mutual labels: jupyter-notebook, lstm
Gym Continuousdoubleauction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Stars: ✭ 50 (-54.13%)
Mutual labels: jupyter-notebook, lstm
Bitcoin Price Prediction Using Lstm
Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Stars: ✭ 67 (-38.53%)
Mutual labels: jupyter-notebook, lstm
Lstmvis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Stars: ✭ 959 (+779.82%)
Mutual labels: jupyter-notebook, lstm
End To End Sequence Labeling Via Bi Directional Lstm Cnns Crf Tutorial
Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Stars: ✭ 87 (-20.18%)
Mutual labels: jupyter-notebook, lstm
Lstm chem
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Stars: ✭ 87 (-20.18%)
Mutual labels: jupyter-notebook, lstm
Rnn Stocks Prediction
Another attempt to use Deep-Learning in the financial markets
Stars: ✭ 39 (-64.22%)
Mutual labels: jupyter-notebook, lstm
Ml Ai Experiments
All my experiments with AI and ML
Stars: ✭ 107 (-1.83%)
Mutual labels: jupyter-notebook, lstm
Ner blstm Crf
LSTM-CRF for NER with ConLL-2002 dataset
Stars: ✭ 51 (-53.21%)
Mutual labels: jupyter-notebook, lstm
Neural Networks
All about Neural Networks!
Stars: ✭ 34 (-68.81%)
Mutual labels: jupyter-notebook, lstm
Gdax Orderbook Ml
Application of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-44.95%)
Mutual labels: jupyter-notebook, lstm
Lstm Sentiment Analysis
Sentiment Analysis with LSTMs in Tensorflow
Stars: ✭ 886 (+712.84%)
Mutual labels: jupyter-notebook, lstm
Qa Rankit
QA - Answer Selection (Rank candidate answers for a given question)
Stars: ✭ 30 (-72.48%)
Mutual labels: jupyter-notebook, lstm
Language Translation
Neural machine translator for English2German translation.
Stars: ✭ 82 (-24.77%)
Mutual labels: jupyter-notebook, lstm
Pytorch Learners Tutorial
PyTorch tutorial for learners
Stars: ✭ 97 (-11.01%)
Mutual labels: jupyter-notebook, lstm
Implementation of LSTM and GRU cells for PyTorch
This repository is an implementation of the LSTM and GRU cells without using the PyTorch LSTMCell and GRUCell.
It is tested on the MNIST dataset for classification.
The 28x28 MNIST images are treated as sequences of 28x1 vector.
The RNN consist of
- A linear layer that maps 28-dimensional input to and 128-dimensional hidden layer
- One intermediate recurrent neural network (LSTM or GRU)
- A fully connected layer which maps the 128 dimensional input to 10-dimensional vector of class labels.
Requirements
Python>=3.5
PyTorch== 0.4.0
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].