MachinelearningnotebooksPython notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
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ScatteractProject which implements extraction of data from scatter plots
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Weibo terminaterFinal Weibo Crawler Scrap Anything From Weibo, comments, weibo contents, followers, anything. The Terminator
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Machinelearning ng吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng
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Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
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Libfm in kerasThis notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
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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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Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
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X2facePytorch code for ECCV 2018 paper
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ReleaseDeep Reinforcement Learning for de-novo Drug Design
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Text detectorText detection model that combines Retinanet with textboxes++ for OCR
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DraganA stable algorithm for GAN training
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Spell CheckerA seq2seq model that can correct spelling mistakes.
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JuliaboxJuliabox continues to run, but this codebase is no longer current.
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Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
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ExtendedtinyfacesDetecting and counting small objects - Analysis, review and application to counting
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Recsys course at polimiThis is the official repository for the Recommender Systems course at Politecnico di Milano.
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Uc2 GitRespository for Open-Science modular microscope system.
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Yolov3 Tf2YoloV3 Implemented in Tensorflow 2.0
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AmassData preparation and loader for AMASS
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Gpt 2 Colabretrain gpt-2 in colab
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Oct2pyRun M Files from Python - GNU Octave to Python bridge
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Coco AnalyzeA wrapper of the COCOeval class for extended keypoint error estimation analysis.
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Emoji2vecemoji2vec: Learning Emoji Representations from their Description
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BassetConvolutional neural network analysis for predicting DNA sequence activity.
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HnattTrain and visualize Hierarchical Attention Networks
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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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Ml TutorialIntroduction to ML packages for the 6.86x course
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ConcretedropoutCode for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
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Lede AlgorithmsAlgorithms course materials for the Lede program at Columbia Journalism School
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Trajectron Plus PlusCode accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
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AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
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PysonarDecentralized Machine Learning Client
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Activitynet 2016 CvprwTools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)
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SwapnetVirtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
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NotebooksJupyter Notebooks with Deep Learning Tutorials
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MlCodes related to various ML Hackathons
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IpypublishA workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!
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Kapsamli derin ogrenme rehberiBu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽
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GeostatspyGeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz
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Analytics ZooDistributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
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IridescentSolid data structure and algorithms
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MiscellaneousScripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.
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