Codegan[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Stars: ✭ 73 (+247.62%)
tiny-rnnLightweight C++11 library for building deep recurrent neural networks
Stars: ✭ 41 (+95.24%)
OpenJijOpenJij : Framework for the Ising model and QUBO.
Stars: ✭ 57 (+171.43%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+357.14%)
Theano Kaldi RnnTHEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Stars: ✭ 31 (+47.62%)
AscensionA metaheuristic optimization framework
Stars: ✭ 24 (+14.29%)
ai-n-queensSolving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
Stars: ✭ 30 (+42.86%)
Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (+261.9%)
EasyesnPython library for Reservoir Computing using Echo State Networks
Stars: ✭ 93 (+342.86%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+15180.95%)
SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Stars: ✭ 56 (+166.67%)
Lstm Human Activity RecognitionHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Stars: ✭ 2,943 (+13914.29%)
Rnn From ScratchUse tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Stars: ✭ 123 (+485.71%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+947.62%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (+33.33%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+1685.71%)
Human-Activity-RecognitionHuman activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Stars: ✭ 16 (-23.81%)
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (+133.33%)
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 (+861.9%)
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 (+466.67%)
ACTAlternative approach for Adaptive Computation Time in TensorFlow
Stars: ✭ 16 (-23.81%)
sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
Stars: ✭ 40 (+90.48%)
soptsopt:A simple python optimization library
Stars: ✭ 42 (+100%)
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 (+9885.71%)
RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Stars: ✭ 277 (+1219.05%)
danifojo-2018-repeatrnnComparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
Stars: ✭ 32 (+52.38%)
GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (+138.1%)
paper-simulationLet's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
Stars: ✭ 133 (+533.33%)
psgd tfTensorflow implementation of preconditioned stochastic gradient descent
Stars: ✭ 33 (+57.14%)
GARIGARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
Stars: ✭ 41 (+95.24%)
OnePhase.jlThis package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.
Stars: ✭ 18 (-14.29%)
IndRNN pytorchIndependently Recurrent Neural Networks (IndRNN) implemented in pytorch.
Stars: ✭ 112 (+433.33%)
benchoptMaking your benchmark of optimization algorithms simple and open
Stars: ✭ 89 (+323.81%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-23.81%)
mmnMoore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Stars: ✭ 39 (+85.71%)
handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+1257.14%)
cnn-rnn-bitcoinReusable CNN and RNN model doing time series binary classification
Stars: ✭ 28 (+33.33%)
DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Stars: ✭ 82 (+290.48%)
pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
Stars: ✭ 162 (+671.43%)
Music-Style-TransferSource code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"
Stars: ✭ 16 (-23.81%)
Metaheuristics.jlHigh-performance metaheuristics for optimization coded purely in Julia.
Stars: ✭ 144 (+585.71%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
Stars: ✭ 21 (+0%)
neural-net-optimizationPyTorch implementations of recent optimization algorithms for deep learning.
Stars: ✭ 59 (+180.95%)