Awesome Nlp ResourcesThis repository contains landmark research papers in Natural Language Processing that came out in this century.
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UdaUnsupervised Data Augmentation (UDA)
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NoisefaceNoise-Tolerant Paradigm for Training Face Recognition CNNs
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Hands On Natural Language Processing With PythonThis repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
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Hey WaldoLabeled images of the Where's Waldo puzzle for use in classification and image recognition problems.
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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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Resnet On Cifar10Reimplementation ResNet on cifar10 with caffe
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TextacyNLP, before and after spaCy
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Chars2vecCharacter-based word embeddings model based on RNN for handling real world texts
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Videoauidt📹 一个短视频APP视频内容安全审核的思路调研及实现汇总
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Monkeylearn PythonOfficial Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.
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MedquadMedical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
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WsddnWeakly Supervised Deep Detection Networks (CVPR 2016)
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Deep LyricsLyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
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Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
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Sparsenet[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
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Kaggle Crowdflower1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
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Neuraldialog LarlPyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
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ShainetSHAInet - a pure Crystal machine learning library
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Darknet2caffeConvert darknet weights to caffemodel
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SplitbrainautoSplit-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
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JsnetJavascript/WebAssembly deep learning library for MLPs and convolutional neural networks
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FxdesktopsearchA JavaFX based desktop search application.
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Neuro🔮 Neuro.js is machine learning library for building AI assistants and chat-bots (WIP).
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FacerecognitionThis is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
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SeqfaceSeqFace : Making full use of sequence information for face recognition
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Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
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Easycnneasy convolution neural network
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KeitaMy personal toolkit for PyTorch development.
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Deep SteganographyHiding Images within other images using Deep Learning
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Tod BertPre-Trained Models for ToD-BERT
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Fnc 1 BaselineA baseline implementation for FNC-1
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ClicrMachine reading comprehension on clinical case reports
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Spacy Js🎀 JavaScript API for spaCy with Python REST API
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Caffe MobilenetA caffe implementation of mobilenet's depthwise convolution layer.
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GooglelanguagerR client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
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Stanza OldStanford NLP group's shared Python tools.
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Sluice NetworksCode for Sluice networks: Learning what to share between loosely related tasks
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Files2rougeCalculating ROUGE score between two files (line-by-line)
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Lenet 5PyTorch implementation of LeNet-5 with live visualization
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Rasa💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
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Pytorch Dc TtsText to Speech with PyTorch (English and Mongolian)
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Nlp Pretrained ModelA collection of Natural language processing pre-trained models.
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Mobilenet SsdCaffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
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Mams For AbsaA Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.
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DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
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