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Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
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Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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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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PytorchPyTorch tutorials A to Z
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Text predictorChar-level RNN LSTM text generator📄.
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FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
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SarcasmdetectionSarcasm detection on tweets using neural network
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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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ModelsDLTK Model Zoo
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
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Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
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Awesome Deep Learning ResourcesRough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
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Nvidia Gpu Tensor Core Accelerator Pytorch OpencvA complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
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Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
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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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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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HasteHaste: a fast, simple, and open RNN library
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Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
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Pytorch SiftPyTorch implementation of SIFT descriptor
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Pytorch convlstmconvolutional lstm implementation in pytorch
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Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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EasyocrReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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VpilotScripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
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Handwriting SynthesisImplementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
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NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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EthnicolrPredict Race and Ethnicity Based on the Sequence of Characters in a Name
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Visualizing cnnsUsing Keras and cats to visualize layers from CNNs
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
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Dgc NetA PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
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