IntromlPython tutorials for introduction to machine learning
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One Hundred Layers TiramisuKeras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
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Ml LessonsIntro to deep learning for medical imaging lesson, by MD.ai
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Spell CheckerA seq2seq model that can correct spelling mistakes.
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ExtendedtinyfacesDetecting and counting small objects - Analysis, review and application to counting
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IntegratedgradientsPython/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
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Py R Fcn MultigpuCode for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe
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Datascience책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개
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Research2vecRepresenting research papers as vectors / latent representations.
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FacenetFaceNet for face recognition using pytorch
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Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
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SimpleselfattentionA simpler version of the self-attention layer from SAGAN, and some image classification results.
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Gp4aCode for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
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Cl JupyterAn enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
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VanillacnnImplementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l
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MagicMAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
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Text detectorText detection model that combines Retinanet with textboxes++ for OCR
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Hacktoberfest2020 ContributionsA beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨
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PersonalContains Jupyter Notebooks of stuff I am working on.
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Analytics ZooDistributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
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AdversarialvariationalbayesThis repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
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LargitdataLargitData Course Material
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Seldon CoreAn MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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DdpgImplementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym
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NbqaRun any standard Python code quality tool on a Jupyter Notebook
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NbinteractCreate interactive webpages from Jupyter Notebooks
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RadioRadIO is a library for data science research of computed tomography imaging
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Whotracks.meData from the largest and longest measurement of online tracking.
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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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FaceshifterTry to reproduce FaceShifter
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Snippetjust some code snippet
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CarputerToy car that drives itself using neural networks
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Graph NotebookLibrary extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
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Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
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PysonarDecentralized Machine Learning Client
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Trading GymThis trading-gym is the first trading for agent to train with episode of short term trading itself.
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DatacollectA collection of tools to collect and download various data.
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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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