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protein-transformerPredicting protein structure through sequence modeling
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AttentionRepository for Attention Algorithm
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KrakenOCR engine for all the languages
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Music2danceGenerating Dance steps for given music with deep learning
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classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
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DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
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Conv seq2seqA tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
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Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
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dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
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YodaSpeakTranslating English to Yoda English using Sequence-to-Sequence with Tensorflow.
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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LNSwipeCell一套友好的、方便集成的针对cell的左滑编辑功能!
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Unet ZooA collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
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voice zaloaidentifying gender and regional accent from speech
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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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).
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KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
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Cs291k🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
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extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
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DeeptranslitEfficient and easy to use transliteration for Indian languages
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ParaphraserSentence paraphrase generation at the sentence level
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novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
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Practical seq2seqA simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
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Quick NlpPytorch NLP library based on FastAI
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rnn2dCPU and GPU implementations of some 2D RNN layers
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SBR⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)
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bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
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Seq2seqMinimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
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jeelizGlanceTrackerJavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.
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CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Seq2seq chatbot linksLinks to the implementations of neural conversational models for different frameworks
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Pytorchtext1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
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Tensorflow TutorialSome interesting TensorFlow tutorials for beginners.
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Pytorch Original TransformerMy implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
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seq3Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
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Awesome Mad ScienceDelightful npm packages that make you say "wow, didn't know that was possible!"
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lmkitlanguage models toolkits with hierarchical softmax setting
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
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Seq2seq Signal PredictionSignal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
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Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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