A professional, production-ready NestJS monorepo template with flexible database abstraction, shared libraries, and best practices.

Reachy Mini's SDK

Switch between multiple Claude accounts and AI models (GLM, Kimi) instantly. Multi-account support with concurrent sessions + settings-based model switching.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

All major services between AWS, Azure, and GCP are mapped with links pointing to product home pages.

NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

Utilities for working with image data, text data, and sequence data.

gradslam is an open source differentiable dense SLAM library for PyTorch

ONVIF node.js implementation

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Depth-Aware Video Frame Interpolation (CVPR 2019)

Learn OpenCV : C++ and Python Examples

Visualizer for neural network, deep learning and machine learning models

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

🛵 The stylish Node.js middleware engine for AWS Lambda 🛵

Repo for guide.sst.dev

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

This repository contains the source code for the paper First Order Motion Model for Image Animation

Concurrent data pipelines in Python >>>

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Tool used to create the IOpipe + AWS Greengrass Raspbian images

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

Parallel Programming with Python and Charm++

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

starter from "How to Train a GAN?" at NIPS2016

Latex code for making neural networks diagrams

A process for automating Docker container base image updates.