PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
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Go TfliteGo binding for TensorFlow Lite
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Decaf ReleaseDecaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!
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Nas fpn tensorflowNAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
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Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
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Covid 19Ciência de Dados aplicada à pandemia do novo coronavírus.
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DatacollectA collection of tools to collect and download various data.
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Tensorflow Without A PhdA crash course in six episodes for software developers who want to become machine learning practitioners.
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StructuredinferenceStructured Inference Networks for Nonlinear State Space Models
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Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
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Neural decodingA python package that includes many methods for decoding neural activity
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NaviganNavigating the GAN Parameter Space for Semantic Image Editing
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MlCodes related to various ML Hackathons
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TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
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MiscellaneousScripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.
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SvhnclassifierA TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
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Ipython NotebooksA collection of IPython notebooks covering various topics.
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ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
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WeatherbenchA benchmark dataset for data-driven weather forecasting
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VeridefteriVeri Defteri Üzerine Kısa Notlar (www.veridefteri.com)
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Drn cvpr2020Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
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SpyketorchHigh-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
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Vqa demoVisual Question Answering Demo on pretrained model
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LernapparatVarious Notebooks for Lernapparat.de
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DeepconvlstmDeep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
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Image classification with 5 methodsCompared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
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Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
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MldlMachine Learning and Deep Learning Resources
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Score sdeOfficial code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
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Coloring T SneExploration of methods for coloring t-SNE.
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LargitdataLargitData Course Material
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Sc17SuperComputing 2017 Deep Learning Tutorial
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
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NbqaRun any standard Python code quality tool on a Jupyter Notebook
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Algforopt NotebooksJupyter notebooks associated with the Algorithms for Optimization textbook
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Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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MosquitoTrading Bot with focus on Evolutionary Algorithms and Machine Learning
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Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
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X2facePytorch code for ECCV 2018 paper
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50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
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Ten Rules JupyterTen Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
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