awesome-shields

The list of styled dynamic informational shields, given the ability to exist by the truly amazing work of shields.io 😍

badges

:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!

bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cml.dev

🔗 CML website and documentation

computer-vision-projects

dash-sample-apps

Apps hosted in the Dash Gallery

data-drift-detection

Dashboard for Data Drift Detection in Python with Evidently and Mercury

dclab

Python library for the post-measurement analysis of real-time deformability cytometry (RT-DC) data sets

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

driver-monitoring-system

example-get-started

Get started DVC project

github-profile-readme-generator

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

image-classification-using-deep-learning

Dog-cat-classification

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

introduction-to-deep-learning

kaggle-competitions

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mediapip-eyes-tracking

:eye: :eye: Tracking using Mediapipe python module,

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

mlops-basics

mlops_with_mnist

This repo demonstrates how to setup a MLOps system for a data science project

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nannyml

Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.

opencv-practice

important methods

parallelize-ml-inference

Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference

pixellib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

precision-agriculture

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

raghavaalajangi