The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
What the f*ck Python? 😱
- python
- wats
- snippets
- wtf
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👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
- agentic-coding
- ai-assistant
- ai-coding
- ai-pair-programming
Video+code lecture on building nanoGPT from scratch
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
- llm
- reinforcement-learning
- algorithm
- nlp-machine-learning
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Translated🎬 AI Video Creation Workflow for AIGC creation | Use AI to make videos, pixel animations, and comic shorts | Storyboards, assets, music, templates, and runnable Python examples | Blender layered animation and 剪映 (Jianying, "CapCut") production methods
- ai-video
- ai-workflow
- animation
- coding-agent
Deep Learning Resources and Tutorials using Keras and Lasagne
Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.
- clip
- ecommerce
- image-retrieval
- image-search
Having fun with music synthesizers
An E2E tutorial to create a video game controller by creating a custom pose classifier using TF Lite.
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