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👋 Hi, I'm YanKo
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📖 My research interests include Perception for Autonomous Driving🚗 and Embodied AI🤖
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✏️ The field of AI is moving incredibly fast. Continuous learning is key to navigating this shift. Welcome to my web, where I share my learning notes and projects. Let's grow together!🤝
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📫 You can get in touch with me by email at lykyjxs@163.com
- Transformer:Architecture breakdown of the backbone behind and source code interpretation
- CLIP:A Vision-Language Model connecting text and images. Includes theoretical analysis and source code interpretation
- OpenVLA-OFT:Vision-Language-Action model fine-tuning via Parameter-Efficient methods. Covers OFT ideas and results
- Pi0:Physical Intelligence's A generalist robot foundation model based on Flow Matching.
- Pi0-FAST:Introduces Frequency-space Action Sequence Tokenization. Optimized for high-frequency control and dexterous manipulation using DCT compression.
- Pi0.5:Introduces multimodal web data with subtask reasoning to enable "out-of-the-box" generalization in novel home environments.
- Pi*0.6:Uses Reinforcement Learning and value functions to self-correct and master complex long-time tasks.
- DeepLearning:Notes from Andrew Ng's Deep Learning Specialization
- Python:Notes from Harvard's CS50P course
- CUDA:A brief intro to CUDA programming from School of Software and Microelectronics, PKU
- LoRA:Intuitive understanding of Low-Rank Adaptation for large model fine-tuning
- PPO:Intuitive understanding of Proximal Policy Optimization in Reinforcement Learning, covering theoretical proofs and codebase walkthroughs
- Flow Matching:Intuitive understanding and derivation of Flow Matching
- VINS-Fusion:Visual-Inertial-GNSS SLAM. A deep dive into ROS system and multi-sensor fusion, covering theoretical proofs and codebase walkthroughs
- Missing-Semester:Notes from MIT course "The Missing Semester of Your CS Education," covering essential tools including Vim, Git, Shell scripting, Tmux, and pdb