Seq2seq chatbot基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs
Stars: ✭ 308 (+144.44%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (+151.59%)
Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Stars: ✭ 114 (-9.52%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-64.29%)
DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Stars: ✭ 120 (-4.76%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+197.62%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Stars: ✭ 116 (-7.94%)
Nmt KerasNeural Machine Translation with Keras
Stars: ✭ 501 (+297.62%)
Punctuator2A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Stars: ✭ 483 (+283.33%)
Lambda NetworksImplementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Stars: ✭ 1,497 (+1088.1%)
EeglearnA set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Stars: ✭ 469 (+272.22%)
Performer PytorchAn implementation of Performer, a linear attention-based transformer, in Pytorch
Stars: ✭ 546 (+333.33%)
Trending Deep LearningTop 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Stars: ✭ 543 (+330.95%)
Video2descriptionVideo to Text: Generates description in natural language for given video (Video Captioning)
Stars: ✭ 107 (-15.08%)
Cnn lstm ctc ocrTensorflow-based CNN+LSTM trained with CTC-loss for OCR
Stars: ✭ 464 (+268.25%)
Chainer Rnn NerNamed Entity Recognition with RNN, implemented by Chainer
Stars: ✭ 19 (-84.92%)
Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
Stars: ✭ 796 (+531.75%)
Dl Workshop SeriesMaterial used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Stars: ✭ 857 (+580.16%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (+503.97%)
JlmA fast LSTM Language Model for large vocabulary language like Japanese and Chinese
Stars: ✭ 105 (-16.67%)
Isab PytorchAn implementation of (Induced) Set Attention Block, from the Set Transformers paper
Stars: ✭ 21 (-83.33%)
ChicksexerA Python package for gender classification.
Stars: ✭ 64 (-49.21%)
SangitaA Natural Language Toolkit for Indian Languages
Stars: ✭ 43 (-65.87%)
Char Rnn KerasTensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts
Stars: ✭ 40 (-68.25%)
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+685.71%)
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Stars: ✭ 52 (-58.73%)
Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (-58.73%)
Sign LanguageSign Language Recognition for Deaf People
Stars: ✭ 65 (-48.41%)
DeepattentionDeep Visual Attention Prediction (TIP18)
Stars: ✭ 65 (-48.41%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+983.33%)
Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
Stars: ✭ 64 (-49.21%)
Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (-49.21%)
Lstm Ctc Ocrusing rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Stars: ✭ 70 (-44.44%)
Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-52.38%)
Deep PlantDeep-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 (-47.62%)
Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Stars: ✭ 1,237 (+881.75%)
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 (-35.71%)
TnnBiologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-34.13%)
EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-35.71%)
ContextConText v4: Neural networks for text categorization
Stars: ✭ 120 (-4.76%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-30.16%)