luke18's Stars
PaddlePaddle/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
OpenMined/PySyft
Perform data science on data that remains in someone else's server
ufoym/deepo
Setup and customize deep learning environment in seconds.
nashory/gans-awesome-applications
Curated list of awesome GAN applications and demo
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Azure/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
microsoft/pai
Resource scheduling and cluster management for AI
znxlwm/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
facebookresearch/pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
ildoonet/pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
tanglang96/DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
thuml/TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
catalyst-cooperative/pudl
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
jalola/improved-wgan-pytorch
Improved WGAN in Pytorch
abdulfatir/gan-metrics-pytorch
Metrics for evaluating generative models.
r-barnes/ArcRasterRescue
Extract raster data from ArcGIS/ESRI formats
datacommonsorg/data
tamu-engineering-research/COVID-EMDA
A Cross-Domain Data Hub with Electricity Market, Coronavirus Case, Mobility and Satellite Data in U.S.
LPMP/BDD
An integer linear program solver using a Lagrange decomposition into binary decision diagrams. Lagrange multipliers are updated through dual block coordinate ascent.
kongyanye/cwgan-gp
A keras implementation of conditional wgan-gp
kirarenctaon/timenet
vsooda/mxnet-wgan
mxnet implement for Conditional Wasserstein GAN
dthuerck/culip
Code for the culip ("CUda for Linear and Integer Programming") project, containing GPU primitives for linear algebra, linear optimization and (someday) integer optimization.
zampie/cgan-acgan-celeba-multi-label-pytorch
ConvergenceDA/visdomloadshape
Proprietary load shape clustering tools for use with the VISDOM load data analysis tools
calebrob6/land-cover-and-socioeconomic-data
Code for joining NLCD class statistics to Census Tract definitions.
reginaion/wasserstein_acgan-PyTorch
Wasserstein Auxiliary Classifier GAN (PyTorch v0.4)
InsideEnergy/StateSAIDI2013
Data, methodology, and code behind, "IE Questions: How Long Is Your Blackout?"