Highlights
- Pro
Stars
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
A solution to assist with virtual proctoring of exams using Amazon Rekognition
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
From nothing to a deployed object detection model on SageMaker with Detectron2
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
Keras implementation of RetinaNet object detection.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Types and functions that make it a little easier to work with Core ML in Swift.
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
Reinforcement Learning Project at CalHacks -- Connect 4 Alpha Go Zero
Diagnosing type II diabetes with Machine Learning
A list of references on lidar point cloud processing for autonomous driving
The backend for the product StagePresence, designed for CS189A/B at UCSB, 2018
Magenta: Music and Art Generation with Machine Intelligence
TensorFlow-based neural network library