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YOLOv5 is a state-of-the-art computer vision model for object detection, segmentation, and classification.
LeetCode solutions and algorithm learning resources
YOLO models for computer vision tasks
Comprehensive resource list for professional software engineers
The Julia programming language for technical computing.
Simplified design patterns guide for developers
Curated list of software and architecture design patterns for developers
Beginner-friendly AI curriculum with 12 weeks, 24 lessons, covering TensorFlow, PyTorch, and AI ethics.
DeepSpeed optimizes deep learning training and inference with distributed computing techniques.
Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
Open-source ChatGPT replacement with local AI model support
Self-hostable internet OS for files, apps, and remote desktop
Tsinghua CS Course Guide
Reusable computer vision tools for developers
JAX is a high-performance numerical computing library for Python, enabling transformations like differentiation and JIT compilation for GPUs/TPUs.
Secure, cross-platform file transfer tool with end-to-end encryption
Free resources to learn System Design concepts and prepare for interviews
Cross-platform ML framework for real-time media processing
Educational C++ algorithm implementations
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