Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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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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Mnist ClassificationPytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
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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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GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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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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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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Awesome ChatbotAwesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
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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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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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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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PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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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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TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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Nlp overviewOverview of Modern Deep Learning Techniques Applied to Natural Language Processing
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Deblurgan TfUnofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
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Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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Mxnet Seq2seqSequence to sequence learning with MXNET
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Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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DeeplearningDeep Learning From Scratch
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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CaptcharecognitionEnd-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
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SleepeegnetSleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
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Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
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Stanford Tensorflow TutorialsThis repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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