kuprel/pycaffe-recurrent external links

---

GitHub - View repository

GitHub.dev - Open in online code editor

Star history - Growth chart over time

deps.dev - Dependencies and security vulnerabilities

Gitingest - Export source code for LLM usage

Repomix - Export source code for LLM usage

uithub - Export source code for LLM usage

Close

kuprel/pycaffe-recurrent

Readme badge preview -

If you own this repo, copy the snippet below and add it to your README.md

---

Copy

[![RelatedRepos](https://img.shields.io/badge/related-repos-yellow)](https://relatedrepos.com/gh/kuprel/pycaffe-recurrent)

Close

kuprel / pycaffe-recurrentView on GitHubMore

• External links
• Readme badge

IPython notebook for training multilayer LSTM and RNN networks with pycaffe

☆54Sep 20, 2015Updated 10 years ago

Alternatives and similar repositories for pycaffe-recurrent

Users that are interested in pycaffe-recurrent are comparing it to the libraries listed below

• matpalm / rnn_lm

  View on GitHub
  various simple RNNs trained on synthetic grammars
  ☆30Aug 8, 2015Updated 10 years ago
• apark263 / cfmz

  View on GitHub
  ☆55Feb 5, 2016Updated 10 years ago
• yaolubrain / ULNNO

  View on GitHub
  Unsupervised Learning on Neural Network Outputs
  ☆73Mar 17, 2017Updated 9 years ago
• IndicoDataSolutions / Passage

  View on GitHub
  A little library for text analysis with RNNs.
  ☆537Sep 10, 2018Updated 7 years ago
• ChrisRackauckas / TBEEF

  View on GitHub
  TBEEF, a doubly ensemble framework for recommendation and prediction problems.
  ☆20Apr 16, 2016Updated 9 years ago
• woodshop / deepAutoController

  View on GitHub
  Build a deep autoencoder. Acoustically monitor the influence of the middle code layer using a Kork nanoKontroller2.
  ☆63Sep 14, 2016Updated 9 years ago
• Po-Hsun-Su / dprl

  View on GitHub
  Deep reinforcement learning package for torch7
  ☆16Sep 17, 2016Updated 9 years ago
• nouiz / ccw_tutorial_theano

  View on GitHub
  Common Code Workflow tutorial on Theano
  ☆16Oct 29, 2015Updated 10 years ago
• lucastheis / nlpcaffe

  View on GitHub
  ☆29May 22, 2015Updated 10 years ago
• mbeissinger / intro_deep

  View on GitHub
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Dec 5, 2015Updated 10 years ago
• tkocisky / oxnn

  View on GitHub
  ☆134Apr 23, 2016Updated 9 years ago
• mbhenaff / spectral-lib

  View on GitHub
  ☆44Mar 30, 2016Updated 9 years ago
• bshahr / torch-dngo

  View on GitHub
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Jul 26, 2016Updated 9 years ago
• zomux / deepy

  View on GitHub
  A highly extensible deep learning framework
  ☆423Aug 8, 2017Updated 8 years ago
• tristandeleu / neural-gpu

  View on GitHub
  Theano implementation of the Neural GPU
  ☆15Jan 5, 2016Updated 10 years ago
• Bihaqo / TensorNet

  View on GitHub
  ☆141Nov 24, 2017Updated 8 years ago
• Gorov / JointRCM

  View on GitHub
  ☆34Jul 24, 2017Updated 8 years ago
• DeNeutoy / act-rte-inference

  View on GitHub
  ☆15Sep 5, 2016Updated 9 years ago
• masabdi / multi-resnet

  View on GitHub
  Multi-Residual Networks
  ☆23Nov 25, 2016Updated 9 years ago
• caglar / noisy_units

  View on GitHub
  Codes for the "Noisy Activation Functions" paper.
  ☆17Jan 5, 2017Updated 9 years ago
• HIPS / hypergrad

  View on GitHub
  Exploring differentiation with respect to hyperparameters
  ☆296Jan 15, 2016Updated 10 years ago
• Ldpe2G / AC-BLSTM

  View on GitHub
  MXNet implementation of AC-BLSTM
  ☆23Apr 3, 2019Updated 6 years ago
• HIPS / Kayak

  View on GitHub
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆229Aug 22, 2017Updated 8 years ago
• petered / plato

  View on GitHub
  A library built on top of Theano. TUTORIAL:
  ☆39Aug 7, 2018Updated 7 years ago
• fh295 / DefGen2

  View on GitHub
  ☆87Nov 20, 2016Updated 9 years ago
• skaae / lasagne-draw

  View on GitHub
  Implementation of the DRAW network in lasagne
  ☆201Nov 8, 2015Updated 10 years ago
• szagoruyko / idiap-tutorials

  View on GitHub
  ☆16Jul 5, 2016Updated 9 years ago
• abhishek-kumar / NNForMLL

  View on GitHub
  Neural Network Models for Multi-label learning
  ☆17Oct 13, 2020Updated 5 years ago
• mrkulk / NeuralPartialProgramSynthesis

  View on GitHub
  Work in progress. Read at your own risk.
  ☆15Jan 21, 2016Updated 10 years ago
• Smerity / tf-ham

  View on GitHub
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆52Mar 9, 2016Updated 10 years ago
• fei3189 / word2vec

  View on GitHub
  Learning word embeddings with AdaGrad and Noise Contrastive Estimation, C++ 11.
  ☆13Sep 22, 2014Updated 11 years ago
• 317070 / Twitch-plays-LSD-neural-net

  View on GitHub
  ☆171Oct 27, 2016Updated 9 years ago
• lmjohns3 / theanets

  View on GitHub
  Neural network toolkit for Python
  ☆327Jun 3, 2018Updated 7 years ago
• Parkayun / pyprice

  View on GitHub
  stock price index wrapper.
  ☆20Jul 17, 2015Updated 10 years ago
• eidonfiloi / SparseRecurrentNetwork

  View on GitHub
  ☆10Nov 19, 2015Updated 10 years ago
• val-iisc / expresso

  View on GitHub
  expresso
  ☆43Jun 25, 2016Updated 9 years ago
• posterior / distributions

  View on GitHub
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Mar 27, 2024Updated last year
• stitchfix / fauxtograph

  View on GitHub
  Tools for using a variational auto-encoder for latent image encoding and generation.
  ☆225Jun 2, 2025Updated 9 months ago
• chetannaik / learning_torch

  View on GitHub
  Learning to program in Lua using "Torch" and other useful libraries
  ☆27Oct 13, 2015Updated 10 years ago