MassyMeniche's Stars
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
facebookresearch/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
sktime/sktime
A unified framework for machine learning with time series
pytransitions/transitions
A lightweight, object-oriented finite state machine implementation in Python with many extensions
justdjango/django-ecommerce
An e-commerce website built with Django
mlech26l/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
llSourcell/YOLO_Object_Detection
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
experiencor/keras-yolo3
Training and Detecting Objects with YOLO3
EscVM/OIDv4_ToolKit
Download and visualize single or multiple classes from the huge Open Images v4 dataset
michalfaber/keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
VisualComputingInstitute/triplet-reid
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
sotte/pytorch_tutorial
PyTorch Tutorial (1.7)
RobRomijnders/weight_uncertainty
Implementing Bayes by Backprop
shenh10/mot_evaluation
A python implementation of Multiple Object Tracking(MOT) evaluation toolkit(2D)
rodrigo2019/keras_yolo2
jackfan00/YOLOpython
create YOLO network via keras / python (closed, move to VGG)
maxjcohen/siamese_reid
Re-identification algorithm using a siamese neural network achitecture
tylerpharand/NAVX
Augmented-Reality GPS Navigation System
simontamayo/demo_using_mask_rcnn
This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: This demo was adapted from the Matterport tutorial on Mask_RCNN which implements Mask R-CNN. Mask R-CNN efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance (developed by K. He, G, Gkioxari, P. Dollár & R. Girshick from Facebook AI Research).