All Projects → Lrp_for_lstm → Similar Projects or Alternatives

310 Open source projects that are alternatives of or similar to Lrp_for_lstm

mmn
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Stars: ✭ 39 (-74.34%)
Top Deep Learning
Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+798.03%)
Mutual labels:  recurrent-neural-networks
Bit Rnn
Quantize weights and activations in Recurrent Neural Networks.
Stars: ✭ 86 (-43.42%)
Mutual labels:  recurrent-neural-networks
Gru Svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (-50%)
Mutual labels:  recurrent-neural-networks
Deep Learning For Beginners
videos, lectures, blogs for Deep Learning
Stars: ✭ 89 (-41.45%)
Mutual labels:  recurrent-neural-networks
Brainforge
A Neural Networking library based on NumPy only
Stars: ✭ 114 (-25%)
Mutual labels:  recurrent-neural-networks
Simplednn
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
Stars: ✭ 81 (-46.71%)
Mutual labels:  recurrent-neural-networks
Deep Learning With Pytorch Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Stars: ✭ 1,986 (+1206.58%)
Mutual labels:  recurrent-neural-networks
Pytorch Learners Tutorial
PyTorch tutorial for learners
Stars: ✭ 97 (-36.18%)
Mutual labels:  recurrent-neural-networks
Recurrent Environment Simulators
Deepmind Recurrent Environment Simulators paper implementation in tensorflow
Stars: ✭ 73 (-51.97%)
Mutual labels:  recurrent-neural-networks
Lstm Ctc Ocr
using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Stars: ✭ 70 (-53.95%)
Mutual labels:  recurrent-neural-networks
Awesome Computer Vision
Awesome Resources for Advanced Computer Vision Topics
Stars: ✭ 92 (-39.47%)
Mutual labels:  interpretability
Rnn From Scratch
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Stars: ✭ 123 (-19.08%)
Mutual labels:  recurrent-neural-networks
Interpretability By Parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Stars: ✭ 88 (-42.11%)
Mutual labels:  interpretability
Document Classifier Lstm
A bidirectional LSTM with attention for multiclass/multilabel text classification.
Stars: ✭ 136 (-10.53%)
Mutual labels:  recurrent-neural-networks
Tnn
Biologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-45.39%)
Mutual labels:  recurrent-neural-networks
Rnn Text Classification Tf
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Stars: ✭ 114 (-25%)
Mutual labels:  recurrent-neural-networks
Ai Reading Materials
Some of the ML and DL related reading materials, research papers that I've read
Stars: ✭ 79 (-48.03%)
Mutual labels:  recurrent-neural-networks
Arc Pytorch
The first public PyTorch implementation of Attentive Recurrent Comparators
Stars: ✭ 147 (-3.29%)
Mutual labels:  recurrent-neural-networks
Qrnn
Quasi-recurrent Neural Networks for Keras
Stars: ✭ 74 (-51.32%)
Mutual labels:  recurrent-neural-networks
Chemgan Challenge
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (-35.53%)
Mutual labels:  recurrent-neural-networks
Keras Tcn
Keras Temporal Convolutional Network.
Stars: ✭ 1,177 (+674.34%)
Mutual labels:  recurrent-neural-networks
Deep Lyrics
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Stars: ✭ 127 (-16.45%)
Mutual labels:  recurrent-neural-networks
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-36.84%)
Mutual labels:  recurrent-neural-networks
Cnn Interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-55.26%)
Mutual labels:  interpretability
Awesome Production Machine Learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Stars: ✭ 10,504 (+6810.53%)
Mutual labels:  interpretability
Breakdown
Model Agnostics breakDown plots
Stars: ✭ 93 (-38.82%)
Mutual labels:  interpretability
Deepecg
ECG classification programs based on ML/DL methods
Stars: ✭ 124 (-18.42%)
Mutual labels:  recurrent-neural-networks
Kerasr
R interface to the keras library
Stars: ✭ 90 (-40.79%)
Mutual labels:  recurrent-neural-networks
Crypto Rnn
Learning the Enigma with Recurrent Neural Networks
Stars: ✭ 139 (-8.55%)
Mutual labels:  recurrent-neural-networks
Malware Classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-42.11%)
Mutual labels:  recurrent-neural-networks
Linear Attention Recurrent Neural Network
A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Stars: ✭ 119 (-21.71%)
Mutual labels:  recurrent-neural-networks
Text classification
Text Classification Algorithms: A Survey
Stars: ✭ 1,276 (+739.47%)
Mutual labels:  recurrent-neural-networks
Speech Recognition Neural Network
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Stars: ✭ 148 (-2.63%)
Mutual labels:  recurrent-neural-networks
Cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
Stars: ✭ 84 (-44.74%)
Mutual labels:  interpretability
Skiprnn 2017 Telecombcn
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
Stars: ✭ 114 (-25%)
Mutual labels:  recurrent-neural-networks
Language Translation
Neural machine translator for English2German translation.
Stars: ✭ 82 (-46.05%)
Mutual labels:  recurrent-neural-networks
Stockprediction
Plain Stock Close-Price Prediction via Graves LSTM RNNs
Stars: ✭ 134 (-11.84%)
Mutual labels:  recurrent-neural-networks
Emnist
A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-46.71%)
Mutual labels:  recurrent-neural-networks
Pycebox
⬛ Python Individual Conditional Expectation Plot Toolbox
Stars: ✭ 101 (-33.55%)
Mutual labels:  interpretability
Reverse Engineering Neural Networks
A collection of tools for reverse engineering neural networks.
Stars: ✭ 78 (-48.68%)
Mutual labels:  interpretability
Stellargraph
StellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+1370.39%)
Mutual labels:  interpretability
Keras Sru
Implementation of Simple Recurrent Unit in Keras
Stars: ✭ 76 (-50%)
Mutual labels:  recurrent-neural-networks
Mad Twinnet
The code for the MaD TwinNet. Demo page:
Stars: ✭ 99 (-34.87%)
Mutual labels:  recurrent-neural-networks
Codegan
[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Stars: ✭ 73 (-51.97%)
Mutual labels:  recurrent-neural-networks
Image Caption Generator
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (-17.11%)
Mutual labels:  recurrent-neural-networks
Rnn Trajmodel
The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
Stars: ✭ 72 (-52.63%)
Mutual labels:  recurrent-neural-networks
Pytorch Esn
An Echo State Network module for PyTorch.
Stars: ✭ 98 (-35.53%)
Mutual labels:  recurrent-neural-networks
3d Reconstruction With Neural Networks
3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)
Stars: ✭ 71 (-53.29%)
Mutual labels:  recurrent-neural-networks
Awesome Fairness In Ai
A curated list of awesome Fairness in AI resources
Stars: ✭ 144 (-5.26%)
Mutual labels:  interpretability
Torch Ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-53.95%)
Mutual labels:  recurrent-neural-networks
Handwriting Synthesis
Handwriting Synthesis with RNNs ✏️
Stars: ✭ 1,340 (+781.58%)
Mutual labels:  recurrent-neural-networks
Bitcoin Price Prediction Using Lstm
Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Stars: ✭ 67 (-55.92%)
Mutual labels:  recurrent-neural-networks
Rcnn Text Classification
Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Stars: ✭ 127 (-16.45%)
Mutual labels:  recurrent-neural-networks
Deep Plant
Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Stars: ✭ 66 (-56.58%)
Mutual labels:  recurrent-neural-networks
Easyesn
Python library for Reservoir Computing using Echo State Networks
Stars: ✭ 93 (-38.82%)
Mutual labels:  recurrent-neural-networks
Tfvos
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
Stars: ✭ 151 (-0.66%)
Mutual labels:  recurrent-neural-networks
Stock Price Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (-3.95%)
Mutual labels:  recurrent-neural-networks
Image Caption Generator
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (-7.24%)
Mutual labels:  recurrent-neural-networks
Visual Attribution
Pytorch Implementation of recent visual attribution methods for model interpretability
Stars: ✭ 127 (-16.45%)
Mutual labels:  interpretability
1-60 of 310 similar projects