- Bordeaux
Stars
PPG-beats is a Matlab library of algorithms to detect heartbeats in photoplethysmogram (PPG) signals.
Python wrapper that handles LoL ddragon data asynchronously
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
Minimal PyTorch implementation of YOLACT.
A Python script for estimating grain size and differential stress via piezometers
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
General texture analysis package for texture and entropy/statistical complexity analysis methods
python package for DFA (Detrended Fluctuation Analysis) and related algorithms
A library to compute (multi)fractal dimensions of images written in Python.
A python function to calculate the fractal dimension in 3D.
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
ZenML π: The bridge between ML and Ops. https://zenml.io.
Deploy a ML inference service on a budget in less than 10 lines of code.
A resource repository for 3D machine learning
Estimation of 6D (position/orientation) of Camera Pose using RGB-D Sensor.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Little tools to download and then weed through images, delete and classify them into groups for building deep learning image datasets (based on crawler and tkinter)
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
Flexible Feature visualization on PyTorch, for research and art π π» π§ π¨
Tensorflow implementation of DETR : Object Detection with Transformers
Deploy and scale serverless machine learning app - in 4 steps.
β‘ A Fast, Extensible Progress Bar for Python and CLI
An easy to use PyTorch to TensorRT converter
GraphVite: A General and High-performance Graph Embedding System