lmartinp's repositories
python-control
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Biomedical-Image-Segmentation-via-CMM-Net
Biomedical Image Segmentation via RMSPP-UNet
building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
cloud-rain-monitor
Device to measure sky conditions (rain and cloud) for an astronomical observatory
csd-library
Clear-sky irradiance detection methodologies from literature
deq-flow
[CVPR 2022] Deep Equilibrium Optical Flow Estimation
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
GMA
Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)
kubric
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
NN-SVG
Publication-ready NN-architecture schematics.
orac
Optimal Retrieval of Aerosol and Cloud
PyBaMM
Fast and flexible physics-based battery models in Python
rcc-run-demo
Demonstration for continuous benchmarking on Google Cloud
sahi
A lightweight vision library for performing large scale object detection/ instance segmentation.
SAM
System Advisor Model (SAM)
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
seviri_ml
SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud top temperature, (4) a multilayer flag and (5) a cloud base height from SEVIRI measurements using its full spectral capabilities. Also to be used as external module with ORAC (https://github.com/ORAC-CC/orac).
skysat_stereo
Tools and libraries for processing Planet SkySat imagery, including camera model refinement, stereo reconstruction, and orthomosaic production
solar-data-tools
Some data analysis tools for working with historical PV solar time-series data sets.
solar-fleet-forecast-probability-tool
A tool for making a probabilistic power forecast for a fleet of solar plants using an existing deterministic forecast
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
trinityX
TrinityX is the new generation of ClusterVision's open-source HPC platform. It is designed from the ground up to provide all services required in a modern HPC system, and to allow full customization of the installation.
Unsuprevised_Seg_via_CNN
An unsupervised (or self-supervised) loss function for binary image segmentation.
Video-Interpolation-using-Deep-Optical-Flow
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use pre-trained FlowNet2 deep learning model and experiment by fine-tuning it. We explore the interpolation performance on Spheres dataset and Corridor dataset.
voxel_space_carving
Space Carving of Voxels for Building 3D Models