Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
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Updated
Aug 14, 2025 - Jupyter Notebook
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.
VeriRepro: Evidence-grounded reproduction for computational papers.
Inspired by Ilya Sutskever’s 2020 reading list to John Carmack, this repo reproduces and explores key AI papers, known as the "ilya30u30." Dive into detailed notes, code, and insights to deepen your understanding of foundational and advanced deep learning concepts.
A full reconstruction of the paper: A new model for control systems with friction (Canudas de Wit et al., 1995, IEEE Transactions on Automatic Control)
Paper Reproduction for "Learning Monocular Dense Depth from Events" | CS4245 Computer Vision by Deep Learning course project
Benchmarking photonic QML against the wider QML landscape to reveal what truly works, what scales, and where the community can push next.
UXCascade: Scalable Usability Testing with Simulated User Agents
EM algorithm to estimate the traffic volume using connected vehicle trajectory, which was proposed by Zheng and Liu.
SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY 复现
Paper-driven molecular-dynamics framework with an AI skill that turns physics papers into runnable Taichi simulations.
论文复现:A Simple Multi-modality Transfer Learning Baseline for Sign Language Translation (SingleStream-SLT Baseline)
Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
AI-assisted CST simulation agent skills: paper reproduction, formula falsification, EM verification, innovation mining. Tested on CST Studio Suite 2025.
From-scratch reproduction of SMOTE (Chawla et al., 2002) - NumPy implementation + the paper's ROC/AUC protocol, on Pima and Mammography.
Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Reproduction and exploration of QBB-based low-bit LLM quantization on TinyLlama, with 2-bit/4-bit experiments and WikiText-2 PPL evaluation.
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