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tabnine-vimVim client for TabNine. https://vimawesome.com/plugin/tabnine-vim
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fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
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CharLSTMBidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation
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iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
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Look4FaceDemo of Face Recognition web service
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BMW-IntelOpenVINO-Detection-Inference-APIThis is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
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AttentionRepository for Attention Algorithm
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SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
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resnet.torchan updated version of fb.resnet.torch with many changes.
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SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
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tabtabTabTab, a smart machine that completes your thoughts (Project dGPT-2).
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deep dreamDeepDream psychodelic image generator.
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Intelligent-Bangla-typing-assistantArtificially intelligent typing assistant that suggest the next word using user typing history and full sentence using LSTM . Works with any environment (MS word, notepad, coding IDEs or anything)
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DeepBeerInventory-RLThe code for the SRDQN algorithm to train an agent for the beer game problem
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object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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protoProto-RL: Reinforcement Learning with Prototypical Representations
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sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
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myDLDeep Learning
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TensorFlow-Roadmap📡 Organized & Useful Resources about Deep Learning with TensorFlow
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MogrifierLSTMA quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
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simpleAICV-pytorch-ImageNet-COCO-trainingSimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
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fsauor2018基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析
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Simple-TensorA simplification of Tensorflow Tensor Operations
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yourAIGPT-2 Discord Bot and Steps to Train Something Like You
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Keras-CIFAR10practice on CIFAR10 with Keras
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
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DocProductMedical Q&A with Deep Language Models
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dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
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CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
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LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
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voice zaloaidentifying gender and regional accent from speech
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TensorMONKA collection of deep learning models (PyTorch implemtation)
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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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terfGo library for reading/writing TensorFlow TFRecords file format
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air writingOnline Hand Writing Recognition using BLSTM
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Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
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torch-lrcnAn implementation of the LRCN in Torch
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deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
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MVCNN-PyTorchNo description or website provided.
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