charrnn

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chenyuntc /pytorch-book

Star12.4k

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

deep-learning jupyter-notebook nn pytorch autograd caption gan image-classification tensorboard tensor neural-style visdom pytorch-tutorials pytorch-tutorials-cn charrnn neuraltalk

UpdatedDec 24, 2023
Jupyter Notebook

ml5js /training-charRNN

Star97

Training charRNN model for ml5js

rnn charrnn ml5js

UpdatedDec 7, 2023
Python

OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网络。调试方便，数据透明。无外部依赖。

machine-learning deep-learning opencl cnn artificial-intelligence lstm neural-networks resnet mlp charrnn

UpdatedJun 3, 2019
C

owulveryck /lstm

Sponsor

Star60

LSTM based on go and gorgonia

golang lstm gorgonia charrnn

UpdatedDec 8, 2019
Go

sar-gupta /rnn-from-scratch

Star10

Implementation of Recurrent Neural Network (RNN) from scratch

python neural-network numpy python3 recurrent-neural-networks neural-networks rnn backpropagation recurrent-neural-network charrnn backpropagation-through-time

UpdatedSep 28, 2019
Python

samre12 /charrnn

Star4

General Tensorflow implementation of a RNN Character Level Language Model based on Truncated Backpropagation Through Time (TBPTT)

recurrent-neural-networks artificial-intelligence language-model lstm-neural-networks tensorflow-examples charrnn experimental-api

UpdatedMar 10, 2018
Python

BenTimor /Tensorflow-CharRNN

Star2

A "Char-RNN" unconventional machine learning software using tensorflow.

python machine-learning tensorflow machine-learning-algorithms python3 rnn machinelearning rnn-tensorflow charrnn tensorflow2

UpdatedNov 8, 2020
Python

sai8151 /linux-llm-FL

Star1

A web application developed using Streamlit that leverages federated learning (FL) to collaboratively train a character-level recurrent neural network (CharRNN) model for text generation. The model is specifically trained on a custom dataset of Linux errors and their solutions.