A curated list of awesome Apache Spark packages and resources.

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

A fancy and practical functional tools

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

linux kernel for Huawei matebook AMD sound support

A library for efficient similarity search and clustering of dense vectors.

This is an example of doing a Modern C++ project with CI

Example C++ CI Services Comparison supporting Linux, Mac, Windows and GCC, Clang (libc++ and libstdc++), MSVC and Clang-cl

A Python implementation of LightFM, a hybrid recommendation algorithm.

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

FEELVOS implementation in PyTorch; FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

Experiments with perceptual loss and autoencoders.

A unified, comprehensive and efficient recommendation library

GoogleTest - Google Testing and Mocking Framework

A cheatsheet of modern C++ language and library features.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features 🔥

Tesseract Open Source OCR Engine (main repository)

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

End-to-End Object Detection with Transformers

Real-time Object Detection for Streaming Perception, CVPR 2022

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)