Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
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DeepcpgDeep neural networks for predicting CpG methylation
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Deep Learning For Time Series ForecastingThis repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.
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Lenet 5PyTorch implementation of LeNet-5 with live visualization
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PhantoscopeOpen Source, Cloud Native, RESTful Search Engine Powered by Neural Networks
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TenginekitTengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
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Deep architectA general, modular, and programmable architecture search framework
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ImageclusterCluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
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IctCode for reproducing ICT ( published in IJCAI 2019)
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MicroexpnetMicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
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AlgobookA beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
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Ml Fraud DetectionCredit card fraud detection through logistic regression, k-means, and deep learning.
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Simple Neural NetworkCreating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
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Deeppose tfDeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659
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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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Dnnweaver2Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
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Video To Retail PlatformAn intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.
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LabeldLabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.
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SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
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Ssd PytorchSSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
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CondensaProgrammable Neural Network Compression
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Trainer MacTrains a model, then generates a complete Xcode project that uses it - no code necessary
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Nlp Pretrained ModelA collection of Natural language processing pre-trained models.
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AbolethA bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
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MganMasking GAN - Image attribute mask generation
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Kiu Net PytorchOfficial Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
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DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
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Pytorch convlstmconvolutional lstm implementation in pytorch
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OnnxOpen standard for machine learning interoperability
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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PerceptualimageerrorA metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
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Slick DnnTiny and elegant deep learning library
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Deep SteganographyHiding Images within other images using Deep Learning
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Adversarialdnn PlaygroundVizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
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MonetMONeT framework for reducing memory consumption of DNN training
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Netdef modelsRepository for different network models related to flow/disparity (ECCV 18)
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Torch DreamsMaking neural networks more interpretable, for research and art 🔎 💻 :brain: 🎨
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EchoPython package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
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FaceswapDeepfakes Software For All
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Robot Grasp DetectionDetecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
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Neural DoodleTurn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
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Keras KaldiKeras Interface for Kaldi ASR
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Video2descriptionVideo to Text: Generates description in natural language for given video (Video Captioning)
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Hdr ExpandnetTraining and inference code for ExpandNet
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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InvoicenetDeep neural network to extract intelligent information from invoice documents.
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AdnetAttention-guided CNN for image denoising(Neural Networks,2020)
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GraffitistGraph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
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Reptile PytorchA PyTorch implementation of OpenAI's REPTILE algorithm
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PointwiseCode for Pointwise Convolutional Neural Networks, CVPR 2018
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