Stars
List of implementation of SOTA deep anomaly detection methods
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Puptime (stylistically P|Uptime) is a lightweight system uptime monitoring service. It monitors services running on different protocols (like HTTP, DNS) and publishes notifications with preliminary…
Usage of Multi-task deep learning network for semantic segmentation in medical images
A beautiful, simple, clean, and responsive Jekyll theme for academics
PyTorch extensions for fast R&D prototyping and Kaggle farming
🧠⚙️ Standalone native implementation of the Web Neural Network API
Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
A collaborative platform for reproducible research (web interface and CLI).
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Best Practices on Recommendation Systems
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Code release for WACV 2020, "Optimizing Through Learned Errors for Accurate Sports Field Registration"
Code for paper 'Convolutional neural networks for automatic detection of focal cortical dysplasia'.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
An Open Sourced Creative Portfolio for Developer and Tech Geeks 😀
Second iteration of my portfolio - created using ReactJS, Material-UI, Overmind, etc
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
Cross-platform, customizable ML solutions for live and streaming media.
Models and examples built with TensorFlow
OpenMMLab Pose Estimation Toolbox and Benchmark.
A collection of resources on Sports Camera Calibration