MapidocPublic repo for Materials API documentation
Stars: ✭ 81 (-2.41%)
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.
Stars: ✭ 82 (-1.2%)
Credit card fraudThis repository includes the code used in my corresponding Medium post.
Stars: ✭ 82 (-1.2%)
How to generate videoThis is the code for "How to Generate Video - Intro to Deep Learning #15' by Siraj Raval on YouTube
Stars: ✭ 81 (-2.41%)
Tensorflow DemoLocal AI demo and distributed AI demo using TensorFlow
Stars: ✭ 82 (-1.2%)
Jupyter to mediumPython package for publishing Jupyter Notebooks as Medium blogposts
Stars: ✭ 82 (-1.2%)
Amazon Sagemaker Script ModeAmazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
Stars: ✭ 82 (-1.2%)
Continuous analysisComputational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.
Stars: ✭ 81 (-2.41%)
Nbconfluxnbconflux converts Jupyter Notebooks to Atlassian Confluence pages
Stars: ✭ 82 (-1.2%)
ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
Stars: ✭ 83 (+0%)
Sequence JacobianInteractive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".
Stars: ✭ 82 (-1.2%)
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.
Stars: ✭ 1,238 (+1391.57%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-2.41%)
Spacenet building detectionProject to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Stars: ✭ 83 (+0%)
Nasnet KerasKeras implementation of NASNet-A
Stars: ✭ 82 (-1.2%)
Yolo resnetImplementing YOLO using ResNet as the feature extraction network
Stars: ✭ 82 (-1.2%)
Ai For Tradingcode repository for Udacity nanodegree Artificial Intelligence for Trading
Stars: ✭ 81 (-2.41%)
H3 Py NotebooksJupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system
Stars: ✭ 82 (-1.2%)
DareblopyData Reading Blocks for Python
Stars: ✭ 82 (-1.2%)
GraphlogAPI for accessing the GraphLog dataset
Stars: ✭ 82 (-1.2%)
Neural Networksbrief introduction to Python for neural networks
Stars: ✭ 82 (-1.2%)
ErgoA Python library for integrating model-based and judgmental forecasting
Stars: ✭ 82 (-1.2%)
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)
Stars: ✭ 83 (+0%)
Juliaopt NotebooksA collection of IJulia notebooks related to optimization
Stars: ✭ 81 (-2.41%)
LogomakerSoftware for the visualization of sequence-function relationships
Stars: ✭ 83 (+0%)
Dviz CourseData visualization course material
Stars: ✭ 81 (-2.41%)
PyeprPowerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
Stars: ✭ 81 (-2.41%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-2.41%)
RsnLearning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
Stars: ✭ 83 (+0%)
Video2gif codeVideo2GIF neural network model from our paper at CVPR2016
Stars: ✭ 80 (-3.61%)
ArticlesPapers I read
Stars: ✭ 82 (-1.2%)
MadCode for "Online and Linear Time Attention by Enforcing Monotonic Alignments"
Stars: ✭ 81 (-2.41%)
Deepembeding图像检索和向量搜索,similarity learning,compare deep metric and deep-hashing applying in image retrieval
Stars: ✭ 83 (+0%)
Summerschool2017Material for the Montréal Deep Learning Summer School 2017
Stars: ✭ 81 (-2.41%)
Fonduer TutorialsA collection of simple tutorials for using Fonduer
Stars: ✭ 82 (-1.2%)
Caffe SpnCodes for Learning Affinity via Spatial Propagation Networks
Stars: ✭ 81 (-2.41%)
Cs231nStanford cs231n'18 assignment
Stars: ✭ 82 (-1.2%)
Carvana ChallengeMy repository for the Carvana Image Masking Challenge
Stars: ✭ 83 (+0%)
CoronabrSérie histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde
Stars: ✭ 83 (+0%)