Popular GitHub Repositories for Curve Det

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

Autonomous driving trajectory planning solution for U-Turn scenario

Web-first SDK that provides real-time ARKit-compatible 52 blend shapes from a camera feed, video or image at 60 FPS using ML models.

Official pytorch version for Self-Reference Deep Adaptive Curve Estimation for Low-Light Image Enhancement

??? This one stop project is a complete COVID-19 detection package comprising of 3 tasks: ? Task 1 --> COVID-19 Classification ? Task 2 --> COVID-19 Infection Segmentation ? Task 3 --> Lung Segmentation

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models

Point Projection On Parametric Curves / Trajectory Maps for Autonomous Driving

Unleash the full potential of exascale LLMs on consumer-class GPUs, proven by extensive benchmarks, with no long-term adjustments and minimal learning curve.

stratigraphic machine-learning - active work moved to Predictatops

Landscape of ML/DL performance evaluation metrics

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

Det här är en labbyta som du snabbt kan sätta upp lokalt eller exempelvis på Streamlit, för att låta användare prova generativa AI-verktyg utan att behöva skapa egna konton.

Pytorch implementation of the paper: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement.

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Detecting hate speech using the spoken content of videos using Machine Learning

R package for forecasting with diffusion models