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Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
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TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
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Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
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PbaEfficient Learning of Augmentation Policy Schedules
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Bag-of-Visual-Words🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
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Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
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Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
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MedpyMedical image processing in Python
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Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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TfidfSimple TF IDF Library
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Grocery Product ClassificationImplementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"
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DensedepthHigh Quality Monocular Depth Estimation via Transfer Learning
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GraphroleAutomatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
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ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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imsearchFramework to build your own reverse image search engine
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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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NlpythonThis repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
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HubA library for transfer learning by reusing parts of TensorFlow models.
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Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
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RexnetOfficial Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
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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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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
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XlearnTransfer Learning Library
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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Food 101 KerasFood Classification with Deep Learning in Keras / Tensorflow
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Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
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TsfreshAutomatic extraction of relevant features from time series:
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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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Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
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MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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Average Word2vec🔤 Calculate average word embeddings (word2vec) from documents for transfer learning
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Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
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Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
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image featuresExtract deep learning features from images using simple python interface
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PyradiomicsOpen-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
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