Isl PythonPorting the R code in ISL to python. Labs and exercises
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Python Machine LearningTous les codes utilisés dans la série YouTube Python Spécial Machine Learning !
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Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
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Sas Viya ProgrammingCode samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages
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Facemaskdetection开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
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Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
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Kalman And Bayesian Filters In PythonKalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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PydataseattleFor the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
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Tf MrnnRe-implementation of the m-RNN model using TensorFLow
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OpenmorphCurated list of open-access databases with human structural MRI data
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MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
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Learning Vis ToolsLearning Vis Tools: Tutorial materials for Data Visualization course at HKUST
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SklearnData & Code associated with my tutorial on the sci-kit learn machine learning library in python
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Imagenetv2A new test set for ImageNet
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PyldavisPython library for interactive topic model visualization. Port of the R LDAvis package.
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Deep Ml MeetupsA central repository for all my projects
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PsganPeriodic Spatial Generative Adversarial Networks
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HgnHierarchical Gating Networks for Sequential Recommendation
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HistbookVersatile, high-performance histogram toolkit for Numpy.
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Py WsiPython package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
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Robustness applicationsNotebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
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Tensorflow ExamplesTensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Credit scoredata from the kaggle 'give me some credit" competition
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PrmlPRML algorithms implemented in Python
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ClxA collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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DwcDarwin Core
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DtreevizA python library for decision tree visualization and model interpretation.
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Google Images DatasetThis repository provides the necessary code to create your own Google Images Dataset.
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Nvidia Gpu Tensor Core Accelerator Pytorch OpencvA complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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