datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-77.78%)
stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Stars: ✭ 84 (-6.67%)
Document Classifier LstmA bidirectional LSTM with attention for multiclass/multilabel text classification.
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Attention MechanismsImplementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Stars: ✭ 203 (+125.56%)
TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
Stars: ✭ 985 (+994.44%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+40%)
Linear Attention Recurrent Neural NetworkA 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 (+32.22%)
Da Rnn📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Stars: ✭ 256 (+184.44%)
Keras AttentionVisualizing RNNs using the attention mechanism
Stars: ✭ 697 (+674.44%)
SimplednnSimpleDNN 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 (-10%)
Keras LmuKeras implementation of Legendre Memory Units
Stars: ✭ 160 (+77.78%)
Im2latex TensorflowTensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Stars: ✭ 207 (+130%)
TfvosSemi-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 (+67.78%)
Relational Rnn PytorchAn implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
Stars: ✭ 236 (+162.22%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (+124.44%)
Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Stars: ✭ 148 (+64.44%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+56.67%)
Crypto RnnLearning the Enigma with Recurrent Neural Networks
Stars: ✭ 139 (+54.44%)
ChaseAutomatic trading bot (WIP)
Stars: ✭ 73 (-18.89%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (+108.89%)
Deep LyricsLyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Stars: ✭ 127 (+41.11%)
Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Stars: ✭ 159 (+76.67%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+144.44%)
Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
Stars: ✭ 12,358 (+13631.11%)
Mead BaselineDeep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (+164.44%)
Lrp for lstmLayer-wise Relevance Propagation (LRP) for LSTMs
Stars: ✭ 152 (+68.89%)
Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (+62.22%)
SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
Stars: ✭ 63 (-30%)
Arc PytorchThe first public PyTorch implementation of Attentive Recurrent Comparators
Stars: ✭ 147 (+63.33%)
StockpredictionPlain Stock Close-Price Prediction via Graves LSTM RNNs
Stars: ✭ 134 (+48.89%)
DeepecgECG classification programs based on ML/DL methods
Stars: ✭ 124 (+37.78%)
danifojo-2018-repeatrnnComparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
Stars: ✭ 32 (-64.44%)
Rcnn Text ClassificationTensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Stars: ✭ 127 (+41.11%)
HdltexHDLTex: Hierarchical Deep Learning for Text Classification
Stars: ✭ 191 (+112.22%)
Rnn From ScratchUse tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Stars: ✭ 123 (+36.67%)
BrainforgeA Neural Networking library based on NumPy only
Stars: ✭ 114 (+26.67%)
Deep SpyingSpying using Smartwatch and Deep Learning
Stars: ✭ 172 (+91.11%)
Skiprnn 2017 TelecombcnSkip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
Stars: ✭ 114 (+26.67%)
Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Stars: ✭ 114 (+26.67%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (+175.56%)
EchotorchA Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Stars: ✭ 231 (+156.67%)
Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Stars: ✭ 2,097 (+2230%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+1416.67%)
Mad TwinnetThe code for the MaD TwinNet. Demo page:
Stars: ✭ 99 (+10%)
Deep News SummarizationNews summarization using sequence to sequence model with attention in TensorFlow.
Stars: ✭ 167 (+85.56%)
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (+8.89%)
Pytorch EsnAn Echo State Network module for PyTorch.
Stars: ✭ 98 (+8.89%)