ai-engineering-from-scratch
+3.1kLearn AI Engineering! Learn it. Build it. Ship it for others.
Deep learning is a subset of machine learning that uses multi-layered neural networks to learn representations from data.
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Repository trong #deep-learning
cs249r_book
+603Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
cs-video-courses
+509List of Computer Science courses with video lectures.
Auto-claude-code-research-in-sleep
+376ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
transformers
+326🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
reasoning-from-scratch
+283Implement a reasoning LLM in PyTorch from scratch, step by step
ultralytics
+225Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
TrenTorch
+94Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
faster-whisper
+244Faster Whisper transcription with CTranslate2
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