Trending Deep LearningTop 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
CtcdecoderConnectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.
Punctuator2A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
EeglearnA set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Rnn NluA TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
CtcwordbeamsearchConnectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.
RmdlRMDL: Random Multimodel Deep Learning for Classification
QtraderReinforcement Learning for Portfolio Management
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
ReturnnThe RWTH extensible training framework for universal recurrent neural networks
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.
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
Carrot🥕 Evolutionary Neural Networks in JavaScript
Da Rnn📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
RCNN MDPCode base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
SuperNNovaOpen Source Photometric classification https://supernnova.readthedocs.io
recurrent-defocus-deblurring-synth-dual-pixelReference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…
tiny-rnnLightweight C++11 library for building deep recurrent neural networks
seeing-without-lookingPyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization
rnn-from-scratchA Recurrent Neural Network implemented from scratch (using only numpy) in Python.
nyyelppredicting yelp review rating using recurrent neural networks
deeptrolldetectorDeep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).
dtsA Keras library for multi-step time-series forecasting.
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
spikeRNNNo description or website provided.
LSMLiquid State Machines in Python and NEST
STORN-kerasThis is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
DeepSeparationKeras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
Deep-LearningThis repo provides projects on deep-learning mainly using Tensorflow 2.0
dl-reluDeep Learning using Rectified Linear Units (ReLU)
recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
imessage-chatbot💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.
rnn darts fastaiImplement Differentiable Architecture Search (DARTS) for RNN with fastai