pytorch2kerasPyTorch to Keras model convertor
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Machine-Learning🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
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machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
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DkerasDistributed Keras Engine, Make Keras faster with only one line of code.
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Pytorch2kerasPyTorch to Keras model convertor
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dl-reluDeep Learning using Rectified Linear Units (ReLU)
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
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InvoicenetDeep neural network to extract intelligent information from invoice documents.
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Nearest-Celebrity-FaceTensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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TF-Model-Deploy-TutorialA tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
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stocktwits-sentimentStocktwits market sentiment analysis in Python with Keras and TensorFlow.
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pytest-notebookA pytest plugin for regression testing and regenerating Jupyter Notebooks
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Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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KerasMNISTKeras MNIST for Handwriting Detection
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daanyDaany - .NET DAta ANalYtics .NET library with the implementation of DataFrame, Time series decompositions and Linear Algebra routines BLASS and LAPACK.
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Traffic-Light-ClassificationA detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.
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jupyterlab plotlyThis repository is deprecated. The extension has moved to https://github.com/jupyterlab/jupyter-renderers
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TensorFlowSwift high-level API for TensorFlow.
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mathematics-statistics-for-data-scienceMathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
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React-Jupyter-ViewerA react component to embed .ipyb notebooks in a blog or something
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MineColabRun Minecraft Server on Google Colab.
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AI-ChatbotAI Chatbot using Dynamic Memory Network in Keras.
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deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
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hdnomBenchmarking and Visualization Toolkit for Penalized Cox Models
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hubPublic reusable components for Polyaxon
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SecMMLSecMML: Secure MPC(multi-party computation) Machine Learning Framework
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yuunoYuuno = VapourSynth + Jupyter
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go-notebookGo-Notebook is inspired by Jupyter Project (link) in order to document Golang code.
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xpA framework (comand line tool + libraries) for creating flexible compute pipelines
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iterative-grabcutThis algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
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WGAN GPKeras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
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smart-city-analyticsAnalyze large data sets collected from a long-range IoT system that uses LoRaWAN networking
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KervolutionKervolution implementation using TF2.0
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Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
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idr-notebooksJupyter Notebooks for the Image Data Resource
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11 Python Matplotlib ModuleMatplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …
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uncertainty-wizardUncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
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100DaysOfMLCodeI am taking up the #100DaysOfMLCode Challenge 😎
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Bitcamp-2019Won the most innovative solution at Bitcamp 2019.🎖🎉
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pyloessA simple implementation of the LOESS algorithm using numpy
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manning tf2 in actionThe official code repository for "TensorFlow in Action" by Manning.
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gorilla-replA fork of Jony Epsilon's rich REPL for Clojure in the notebook style.
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Portrait FCN and 3D ReconstructionThis project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.
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