{"id":144367,"login":"axect","has_sponsors_listing":true,"data":{"kind":"user","name":"Tae-Geun Kim","uuid":"17744450","email":"axect.tg@proton.me","login":"Axect","company":"Fudan Univ. \u0026 RIKEN","twitter":null,"website":"https://axect.github.io","html_url":"https://github.com/Axect","icon_url":"https://avatars.githubusercontent.com/u/17744450?u=63351da0238a35c62e9989d03b1a9d2a604b22ad\u0026v=4","location":"Shanghai, China","metadata":{"funding":null,"has_sponsors_listing":true},"followers":137,"following":83,"owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Axect","created_at":"2022-11-12T22:47:31.915Z","updated_at":"2026-08-22T19:32:42.465Z","description":"Postdoctoral Researcher \u0026 Rustacean","total_stars":null,"funding_links":["https://github.com/sponsors/Axect"],"last_synced_at":"2026-08-22T19:32:42.451Z","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Axect/repositories","repositories_count":21},"created_at":"2024-12-08T17:12:36.077Z","updated_at":"2026-08-26T19:48:21.535Z","last_synced_at":"2026-08-26T19:48:21.535Z","sponsors_count":2,"sponsorships_count":0,"active_sponsorships_count":0,"active_sponsors_count":1,"sponsor_profile":{"bio":"Hello, I'm Tae-Geun Kim 👋\n🙋‍♂️ About Me\n\nGraduate student in Physics at Yonsei University\nMember of Yonsei HEP-COSMO\nCurriculum Vitae | Blog\n\n❤️ Interests\n\nHigh energy astrophysics, dark matter, and cosmology\nScientific computation\nMachine Learning / Deep Learning / Statistics\nQuantum Computing\n\n💼 Key Projects\n\n\nPeroxide: Rust numeric library for scientific computing\n\nLinear algebra, numerical analysis, statistics, and machine learning\nUser-friendly syntax similar to R, NumPy, and MATLAB\nSupports functional programming and automatic differentiation\n\n\n\nHyperbolicLR: Novel learning rate schedulers for deep learning\n\nAddresses learning curve decoupling problem\nImproves performance and stability across increasing epochs\nImplemented and evaluated using PyTorch\n\n\n\nPuruspe: Pure Rust library for special functions\n\nImplements gamma, beta, and error functions with no dependencies\nLightweight and efficient for mathematical computing\n\n\n\nForger: Reinforcement Learning library in Rust\n\nModular design for agents, environments, and policies\nSupports customizable strategies and learning algorithms\n\n\n\nPyTorch Template Project: Flexible template for ML experiments\n\nConfigurable experiments using YAML files\nIntegration with Weights \u0026 Biases and Optuna\nSupport for multiple random seeds and device selection\n\n\n\nDeeLeMa: Deep learning for particle collision analysis\n\nEstimates mass and momenta in high-energy collider events\nAdaptable to different event topologies\n\n\n\n📚 Selected Publications\n\nT.-G. Kim, \"HyperbolicLR: Epoch insensitive learning rate scheduler\", arXiv:2407.15200 (2024)\nC.M. Hyun, T.-G. Kim, K. Lee, \"Unsupervised sequence-to-sequence learning for automatic signal quality assessment...\", CMPB 108079 (2023)\nK. Ban et al., \"DeeLeMa: Missing information search with Deep Learning for Mass estimation\", Phys. Rev. Research 5, 043186 (2022)\n\nYour support will help me continue developing open-source scientific computing tools and pursuing research in physics and machine learning. Thank you for considering sponsorship!","past_sponsors":1,"featured_works":[],"current_sponsors":1},"minimum_sponsorship_amount":1,"url":"https://sponsors.ecosyste.ms/accounts/axect","api_url":"https://sponsors.ecosyste.ms/api/v1/accounts/axect","html_url":"https://github.com/axect","sponsors_url":"https://github.com/sponsors/axect","sponsors_api_url":"https://sponsors.ecosyste.ms/api/v1/accounts/axect/sponsors","sponsorships_api_url":"https://sponsors.ecosyste.ms/api/v1/accounts/axect/sponsorships"}