Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn This code implements multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling from character-level language models. In other words the model takes one text file as input and trains a Recurrent Neur

Related Repos


Popular
25.3k

GokuMohandas Basics 🔥 Among the top 10 ML repos on GitHub Learn Python basics with notebooks. Use data science libraries like NumPy
 

Separius awesome-sentence-embedding A curated list of pretrained sentence(and word) embedding models Table of Contents About This Repo General Framework Word Embeddings OOV Handling Contextualized Word Embeddings
 

prakashpandey9 Text-Classification-Pytorch Description This repository contains the implmentation of various text classification models like RNN, LSTM, Attention, CNN, etc in PyTorch deep learning framework along with a detailed docu
 

iShohei220 PyTorch implementation of Generative Query Network Original Paper: Neural scene representation and rendering (Eslami, et al., 2018) https://deepmind.com/blog/neural-scene-representation-and-rendering
 

taki0112 PartialConv-Tensorflow Simple Tensorflow implementation of Partial Convolution based Padding How to use # typical convolution layer with zero padding x = conv(x, channels, kernel=3, stride=2, use_bias=True, pad
 

arnas Awesome PyTorch Scholarship Resources A collection of awesome PyTorch and Python learning resources. Contributions are always welcome! Course Information AMA's Pytorch AMA 11.09.2018 (Alternate c
 
Popular
3.1k

mindsdb MindsDB is an Explainable AutoML framework for developers built on top of Pytorch. It enables you to build, train and test state of the art ML models in as simple as one line of code.