Magnetloss PytorchPyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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LazypredictLazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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Voxceleb trainerIn defence of metric learning for speaker recognition
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Mlstm FcnMultivariate LSTM Fully Convolutional Networks for Time Series Classification
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TtachImage Test Time Augmentation with PyTorch!
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ShufflenetShuffleNet Implementation in TensorFlow
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PycaretAn open-source, low-code machine learning library in Python
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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Mlr3mlr3: Machine Learning in R - next generation
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Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
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Batch Dropblock NetworkOfficial source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
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Cranium🤖 A portable, header-only, artificial neural network library written in C99
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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CvpodsAll-in-one Toolbox for Computer Vision Research.
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Fuku MlSimple machine learning library / 簡單易用的機器學習套件
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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FrancNatural language detection
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Powerful BenchmarkerA PyTorch library for benchmarking deep metric learning. It's powerful.
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Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
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Additive Margin SoftmaxThis is the implementation of paper <Additive Margin Softmax for Face Verification>
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Tensorflow ResourcesCurated Tensorflow code resources to help you get started with Deep Learning.
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ChexnetA pytorch reimplementation of CheXNet
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PywickHigh-level batteries-included neural network training library for Pytorch
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WeaviateWeaviate is a cloud-native, modular, real-time vector search engine
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MalheurA Tool for Automatic Analysis of Malware Behavior
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Code Sleep PythonAwesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python 🐍
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PointnetPointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Go DeepArtificial Neural Network
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AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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RAll Algorithms implemented in R
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GfocalGeneralized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
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Kaggle Homedepot3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
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Misp GalaxyClusters and elements to attach to MISP events or attributes (like threat actors)
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AnymethodlogLog any method call of object in Objective-C
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Pytorch Metric LearningThe easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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Resnetcam KerasKeras implementation of a ResNet-CAM model
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AmsoftmaxA simple yet effective loss function for face verification.
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Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
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Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
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Argus FreesoundKaggle | 1st place solution for Freesound Audio Tagging 2019
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
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