machine learning and deep learning tutorials, articles and other resources
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machine learning and deep learning tutorials, articles and other resources
Code samples for my book "Neural Networks and Deep Learning"
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
TranslatedDeep Learning Tutorial, excellent articles
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
Janus-Series: Unified Multimodal Understanding and Generation Models
A collection of various deep learning architectures, models, and tips
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
📺 Discover the latest machine learning / AI courses on YouTube.
TranslatedDSHDesktop: DeepSeek Harness Desktop
FinRL®: Financial Reinforcement Learning. 🔥
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A neural network that transforms a design mock-up into a static website.
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Nano vLLM
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
:satellite: Simple and ready-to-use tutorials for TensorFlow
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).