Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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DeepcpgDeep neural networks for predicting CpG methylation
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MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
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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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LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
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Densenet Sdrrepo that holds code for improving on dropout using Stochastic Delta Rule
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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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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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ShainetSHAInet - a pure Crystal machine learning library
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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Visualizingcnn 🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." (ECCV 2014)
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WebdnnThe Fastest DNN Running Framework on Web Browser
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Models Comparison.pytorch Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
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Keras age genderEasy Real time gender age prediction from webcam video with Keras
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Real Time Ml ProjectA curated list of applied machine learning and data science notebooks and libraries across different industries.
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Netdef modelsRepository for different network models related to flow/disparity (ECCV 18)
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Arc PytorchThe first public PyTorch implementation of Attentive Recurrent Comparators
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UnitUnsupervised Image-to-Image Translation
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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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Hdr ExpandnetTraining and inference code for ExpandNet
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Cutout Random ErasingCutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
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Reptile PytorchA PyTorch implementation of OpenAI's REPTILE algorithm
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Awesome Deep NeuroevolutionA collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
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E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
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CondensaProgrammable Neural Network Compression
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All4nlpAll For NLP, especially Chinese.
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AbolethA bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
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Ctranslate2Fast inference engine for OpenNMT models
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Face Alignment TrainingTraining code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
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PhantoscopeOpen Source, Cloud Native, RESTful Search Engine Powered by Neural Networks
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Tutorial separationThis repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
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Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
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Pytorch convlstmconvolutional lstm implementation in pytorch
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ColorizationAutomatic line art colorization using various types of hint or without hint
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PerceptualimageerrorA metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
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Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
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BenderEasily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
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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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Djl DemoDemo applications showcasing DJL
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MonetMONeT framework for reducing memory consumption of DNN training
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Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
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Electra pytorchPretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
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Easy Neural OdeCode for the paper "Learning Differential Equations that are Easy to Solve"
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