tcapelle

rocket

This is a multi-channel implementation of ROCKET

PhyDNet

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

convlstmgru

Pytorch implementations of ConvLSTM and ConvGRU modules with examples

fastbook

The fastai book, published as Jupyter Notebooks

lrp

Codes from article Location and Routing Problem with PD

tabular_image_models

A fastai based repo to ensemble image and tabular data.

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve

Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

bifacial_model_validation

An effort to share model validation

bifacial_modelling

Repository for Bifacial modelling tools in python.

bifacialvf

Bifacial PV View Factor model for system performance calculation

cape_dotfiles

A template for structuring dotfiles (using Dotbot as an installer) 📜

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

DCNv2

Deformable Convolutional Networks v2 with Pytorch

fastai2

Temporary home for fastai v2 while it's being developed

fastbench

A fastai based GPU benchmark repo

fastlabel

An image labelling tool for creating segmentation data sets using flask and fastai.

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

fastseq

A way to use fastai with sequence data

github-pages-with-jekyll

InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

nbdev_template

Template for nbdev projects

pigeon

🐦 Quickly annotate data from the comfort of your Jupyter notebook

predict_pv_yield

Use machine learning to map from satellite imagery of clouds to solar PV yield

PredNet_pytorch

A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.

pvfactors

Open-source view-factor model for diffuse shading and bifacial PV modeling. Documentation: http://sunpower.github.io/pvfactors/

pvlib-python

A set of documented functions for simulating the performance of photovoltaic energy systems.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

SUNSET

Stanford University Neural-network for Solar Electricity Trend

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."