Mlhep2016Machine Learning in High Energy Physics 2016
Stars: ✭ 71 (-14.46%)
Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
Stars: ✭ 71 (-14.46%)
Keras Deeplab V3 PlusKeras implementation of Deeplab v3+ with pretrained weights
Stars: ✭ 1,212 (+1360.24%)
Advanced Lane DetectionAn advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
Stars: ✭ 71 (-14.46%)
Srgan KerasImplementation of SRGAN in Keras. Try at: www.fixmyphoto.ai
Stars: ✭ 71 (-14.46%)
TorchtexttutorialA short tutorial for Torchtext, the NLP-specific add-on for Pytorch.
Stars: ✭ 83 (+0%)
Aws Ml Guide[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
Stars: ✭ 78 (-6.02%)
FnnEmbed strange attractors using a regularizer for autoencoders
Stars: ✭ 81 (-2.41%)
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%)
Covid19italiaCondividiamo informazioni e segnalazioni sul COVID19
Stars: ✭ 78 (-6.02%)
FlowcytometrytoolsA python package for visualization and analysis of high-throughput flow cytometry data
Stars: ✭ 70 (-15.66%)
Style SemanticsCode for the paper "Controlling Style and Semantics in Weakly-Supervised Image Generation", ECCV 2020
Stars: ✭ 81 (-2.41%)
Tensorflow DeepqA deep Q learning demonstration using Google Tensorflow
Stars: ✭ 1,167 (+1306.02%)
Rddc2020road damage detection challenge 2020
Stars: ✭ 78 (-6.02%)
Nccu Jupyter Math這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。
Stars: ✭ 70 (-15.66%)
Tensorrt DemoTensorRT and TensorFlow demo/example (python, jupyter notebook)
Stars: ✭ 70 (-15.66%)
Curso aeropythonCurso de iniciación a Python orientado a la ingeniería
Stars: ✭ 77 (-7.23%)
D3 Js Step By Stephttp://zeroviscosity.com/category/d3-js-step-by-step
Stars: ✭ 80 (-3.61%)
RhodiumPython Library for Robust Decision Making and Exploratory Modelling
Stars: ✭ 77 (-7.23%)
ImpulciferMeasurement and processing of binaural impulse responses for personalized surround virtualization on headphones.
Stars: ✭ 70 (-15.66%)
Credit card fraudThis repository includes the code used in my corresponding Medium post.
Stars: ✭ 82 (-1.2%)
MachinelearningformedicalimagesExample code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)
Stars: ✭ 77 (-7.23%)
SnowflaqeA dotnet CLI tool to work with GraphQL queries: static query verification, type checking and code generating type-safe clients for F# and Fable.
Stars: ✭ 69 (-16.87%)
Mimic CodeMIMIC Code Repository: Code shared by the research community for the MIMIC-III database
Stars: ✭ 1,225 (+1375.9%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+1350.6%)
Nyumath2048NYU Math-GA 2048: Scientific Computing in Finance
Stars: ✭ 69 (-16.87%)
Apollo Prophecy🔮 GraphQL error management made Easy, generate custom machine-readable errors for Apollo Client/Server from the CLI
Stars: ✭ 83 (+0%)
Gds envA containerised platform for Geographic Data Science
Stars: ✭ 68 (-18.07%)
RecommenderA recommendation system using tensorflow
Stars: ✭ 69 (-16.87%)
Attention TransferImproving Convolutional Networks via Attention Transfer (ICLR 2017)
Stars: ✭ 1,231 (+1383.13%)
Pycon2017Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/
Stars: ✭ 69 (-16.87%)
NlpGeneric codes related to NLP
Stars: ✭ 77 (-7.23%)
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%)
Selective Joint Fine TuningCodes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".
Stars: ✭ 74 (-10.84%)
Soccernet CodeSoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
Stars: ✭ 79 (-4.82%)
Google earth engine notebookA walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow
Stars: ✭ 74 (-10.84%)
Ios Coreml MnistReal-time Number Recognition using Apple's CoreML 2.0 and MNIST -
Stars: ✭ 74 (-10.84%)
Predictive ModelsA repo of the Data Scientist team's open source predictive models.
Stars: ✭ 77 (-7.23%)
GancsCompressed Sensing MRI based on Deep Generative Adversarial Network
Stars: ✭ 83 (+0%)