H3 Py NotebooksJupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system
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Neural Networksbrief introduction to Python for neural networks
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Video2gif codeVideo2GIF neural network model from our paper at CVPR2016
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GraphlogAPI for accessing the GraphLog dataset
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Dviz CourseData visualization course material
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PyeprPowerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
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Cs231nStanford cs231n'18 assignment
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Summerschool2017Material for the Montréal Deep Learning Summer School 2017
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Deepembeding图像检索和向量搜索,similarity learning,compare deep metric and deep-hashing applying in image retrieval
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DareblopyData Reading Blocks for Python
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ErgoA Python library for integrating model-based and judgmental forecasting
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LogomakerSoftware for the visualization of sequence-function relationships
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Juliaopt NotebooksA collection of IJulia notebooks related to optimization
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Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
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Mlcourse生命情報の機械学習入門(新学術領域「先進ゲノム支援」中級講習会資料)
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MadCode for "Online and Linear Time Attention by Enforcing Monotonic Alignments"
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ArticlesPapers I read
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Yolo resnetImplementing YOLO using ResNet as the feature extraction network
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Spacenet building detectionProject to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
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CoronabrSérie histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde
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Credit card fraudThis repository includes the code used in my corresponding Medium post.
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Carvana ChallengeMy repository for the Carvana Image Masking Challenge
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Sequence JacobianInteractive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".
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ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
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Tensorflow DemoLocal AI demo and distributed AI demo using TensorFlow
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Jupyter to mediumPython package for publishing Jupyter Notebooks as Medium blogposts
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TorchtexttutorialA short tutorial for Torchtext, the NLP-specific add-on for Pytorch.
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Openml RR package to interface with OpenML
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MapidocPublic repo for Materials API documentation
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EconmlALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
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Unsupervised anomaly detectionA Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.
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Continuous analysisComputational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.
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Nasnet KerasKeras implementation of NASNet-A
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How to generate videoThis is the code for "How to Generate Video - Intro to Deep Learning #15' by Siraj Raval on YouTube
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Amazon Sagemaker Script ModeAmazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
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Nbconfluxnbconflux converts Jupyter Notebooks to Atlassian Confluence pages
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GancsCompressed Sensing MRI based on Deep Generative Adversarial Network
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RsnLearning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
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Fonduer TutorialsA collection of simple tutorials for using Fonduer
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