Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Seq2seq PytorchSequence to Sequence Models with PyTorch
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
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BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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scrabble-ganAdversarial Generation of Handwritten Text Images
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StockpricepredictionStock Price Prediction using Machine Learning Techniques
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Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
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MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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SLE-GANTowards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
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Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Mxnet Seq2seqSequence to sequence learning with MXNET
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Solar-Rad-ForecastingIn these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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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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CDRP TFCNN Event Detection & RNN Phase Picking (in Tensorflow)
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AIODriveOfficial Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"
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cnn-seq2seqNo description or website provided.
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transformerNeutron: A pytorch based implementation of Transformer and its variants.
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GestureAIRNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.
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RNNSearchAn implementation of attention-based neural machine translation using Pytorch
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EmbeddingEmbedding模型代码和学习笔记总结
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SpectrumSpectrum is an AI that uses machine learning to generate Rap song lyrics
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python-awipsA framework for querying AWIPS meteorological datasets from an EDEX Data Server.
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deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
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CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
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NARUTO-HandSignDetection物体検出を用いてNARUTOの印(子~亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)
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text classifierTensorflow2.3的文本分类项目,支持各种分类模型,支持相关tricks。
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lstm-mathNeural network that solves math equations on the character level
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pix2pix-tensorflowA minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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char-VAEInspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
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tf-blazeposeBlazePose - Super fast human pose detection on Tensorflow 2.x
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CARLACARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
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Deep-LearningThis repo provides projects on deep-learning mainly using Tensorflow 2.0
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Video-Cap🎬 Video Captioning: ICCV '15 paper implementation
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Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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mangoQuestion-Answering NLP model with character-level RNN (TensorFlow).
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mtlearnMulti-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
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wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
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IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
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