Fin MlThis github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
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Deep Ml MeetupsA central repository for all my projects
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Credit scoredata from the kaggle 'give me some credit" competition
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Ultra96 PynqBoard files to build Ultra 96 PYNQ image
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KubeflowdojoRepository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
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Nb pdf templateA more accurate representation of jupyter notebooks when converting to pdfs.
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Simple mfSimple but Flexible Recommendation Engine in PyTorch
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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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DtreevizA python library for decision tree visualization and model interpretation.
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DensecapDense image captioning in Torch
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XgboostTutorial how to use xgboost
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Pymc3 vs pystanPersonal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
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PsganPeriodic Spatial Generative Adversarial Networks
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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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SklearnData & Code associated with my tutorial on the sci-kit learn machine learning library in python
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Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
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Imagenetv2A new test set for ImageNet
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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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MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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PydataseattleFor the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
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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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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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OpenmorphCurated list of open-access databases with human structural MRI data
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Prisma abu用机器学习做个艺术画家-Prisma
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Isl PythonPorting the R code in ISL to python. Labs and exercises
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Google Images DatasetThis repository provides the necessary code to create your own Google Images Dataset.
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Ml DemosPython code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)
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Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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Learning Vis ToolsLearning Vis Tools: Tutorial materials for Data Visualization course at HKUST
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Python Machine LearningTous les codes utilisés dans la série YouTube Python Spécial Machine Learning !
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Wifi activity recognitionCode for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
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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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