JuliadocsContributions to Julia Documentation
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Oxford Deepnlp 2017🚀 🎉 ✨ Oxford Deep NLP 2017 Course Materials and Practicals, Solutions
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Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
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Medium ArticleRepo for articles in my personal blog and Medium
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PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
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Pytorch StructFast, general, and tested differentiable structured prediction in PyTorch
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TaxiTAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling
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Rnn SynAnalogs of Linguistic Structure in Deep Representations
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ShadowmusicA temporal music synthesizer
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Personal History ArchiveAn experiment in creating a dump of your personal browser history for analysis
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World Models Sonic PytorchAttempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed
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Mask Rcnn TensorflowFork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.
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Neural networksThis is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube
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PacmapPaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
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Boston Housing Prices🏠 Predict the selling price of a new home in Boston, Massachusetts area
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S gd2Stress-based Graph Drawing by Stochastic Gradient Descent
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Sgdoptim.jlA julia package for Gradient Descent and Stochastic Gradient Descent
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ResimnetImplementation of ReSimNet for drug response similarity prediction
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Mambo Stars: ✭ 27 (-3.57%)
Sdtm mapperAI SDTM mapping (R for ML, Python, TensorFlow for DL)
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ChexpertCheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet
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Stat406STAT406 @ UBC - "Elements of Statistical Learning"
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Data driven science python demosIPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
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Movie recommenderMovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
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SidOfficial implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"
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DalrImplementation of "Domain-adaptive deep network compression", ICCV 2017
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Word2vec Workshopword2vec workshop - a conceptual introduction and practical application
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KispythonКурс программирования на языке Python
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TechtalksSlides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup
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AnatomyofmatplotlibAnatomy of Matplotlib -- tutorial developed for the SciPy conference
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Keras Faster RcnnFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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