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Workshop

CODEML: Championing Open-source DEvelopment in Machine Learning

Geoff Pleiss ⋅ Jonathan Wenger ⋅ Jūlija Pečerska ⋅ Alina Selega ⋅ Frank Schneider
Project Page [ OpenReview] 

Abstract

Video

Chat is not available.

Schedule

Timezone: Asia/Seoul
1:00 AM
👋 Opening Remarks
Alina Selega ⋅ Frank Schneider ⋅ Geoff Pleiss ⋅ Jonathan Wenger ⋅ Jūlija Pečerska
4:00 AM
🍽️ Lunch
5:00 AM
JAX and OSS at Google / DeepMind
Matthew Johnson
6:15 AM
Poster session
→ If open source is to win, it must go public
Joshua Tan ⋅ Nicholas Vincent ⋅ Katherine Elkins ⋅ Magnus Sahlgren
→ ZKLoRA: Efficient Zero-Knowledge Proofs for LoRA Verification
Bidhan Roy ⋅ Peter Potash ⋅ Marcos Villagra
→ Library X: User-Friendly Differential Privacy Library in PyTorch
Sai Aparna Aketi ⋅ Will Bullock ⋅ Iden Kalemaj ⋅ Enayat Ullah ⋅ Huanyu Zhang
→ Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks
Isaac Chung ⋅ Imene Kerboua ⋅ Márton Kardos ⋅ Roman Solomatin ⋅ Kenneth Enevoldsen
→ LIB_NAME: API-first feature extraction for image-based profiling workflows
Ala Muñoz ⋅ Tim Treis ⋅ Alexandr A. Kalinin ⋅ Shatavisha Dasgupta ⋅ Fabian Theis ⋅ Anne Carpenter ⋅ Shantanu Singh
→ Write Code that People Want to Use
Stella Biderman ⋅ Jennifer Mickel ⋅ Baber Abbasi
→ An LLM-Powered Tool for Enhancing Scientific Open-Source Repositories
Nikolay Nikitin ⋅ Andrey Getmanov ⋅ Zakhar Popov ⋅ Ulyanova Alekseevna ⋅ Yaroslav Aksenkin ⋅ Ilya Sokolov ⋅ Alexander Boukhanovsky
→ Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
Philippe M. Wyder ⋅ Judah A Goldfeder ⋅ Alexey Yermakov ⋅ Yue Zhao ⋅ Stefano Riva ⋅ Jan Williams ⋅ David Zoro ⋅ Amy Rude ⋅ Matteo Tomasetto ⋅ Joe Germany ⋅ Joseph Bakarji ⋅ Georg Maierhofer ⋅ Miles Cranmer ⋅ J. Nathan Kutz
→ N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
Caleb Chin ⋅ Aashish Khubchandani ⋅ Harshvardhan Maskara ⋅ Kyuseong Choi ⋅ Jacob Feitelberg ⋅ Albert Gong ⋅ Manit Paul ⋅ Tathagata Sadhukhan ⋅ Anish Agarwal ⋅ Raaz Dwivedi
→ DeepChem-Variant: A Modular Open Source Framework for Genomic Variant Calling
Ankita Bisoi ⋅ Shreyas Vinaya Sathyanarayana ⋅ Jose Siguenza ⋅ Bharath Ramsundar
→ Open-Source Foosball Benchmark for Deep Reinforcement Learning
Matthew So ⋅ Kwansoo Lee ⋅ Judah A Goldfeder ⋅ Hod Lipson
→ RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing
Yiqing Xie ⋅ Alex Xie ⋅ Divyanshu Sheth ⋅ Pengfei Liu ⋅ Daniel Fried ⋅ Carolyn Rose
→ Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean ⋅ Evangelos Chatzaroulas ⋅ Luc McCutcheon ⋅ Frank Röder ⋅ Tianhe (Kevin) Yu ⋅ Zhanpeng He ⋅ K.R. Zentner ⋅ Ryan Julian ⋅ Jordan Terry ⋅ Isaac Woungang ⋅ Nariman Farsad ⋅ Pablo Samuel Castro
→ skglm: Improving scikit-learn for regularized Generalized Linear Models
Mathurin Massias ⋅ Badr MOUFAD ⋅ Quentin Bertrand
→ KernelBot: A Competition Platform for Writing Heterogeneous GPU Code
Alex Zhang ⋅ Matej Sirovatka ⋅ Erik Schultheis ⋅ Benjamin Horowitz ⋅ Mark Saroufim
→ Orthogonium: A Unified, Efficient Library of Orthogonal and 1‑Lipschitz Building Blocks
Thibaut Boissin ⋅ Franck Mamalet ⋅ Valentin Lafargue ⋅ Mathieu Serrurier
→ Provenance Design and Evolution in a Production ML Library
Adam C Pocock ⋅ Joseph Wonsil ⋅ Romina Mahinpei ⋅ Jack Sullivan ⋅ Margo Seltzer
→ ABC Gym: a simulation environment for low-bandwidth training
Seth Howes ⋅ Matt Beton ⋅ Mohamed Baioumy ⋅ Alex Cheema
→ AIF-GEN: Open-Source Platform and Synthetic Dataset Suite for Reinforcement Learning on Large Language Models
Jacob Chmura ⋅ Shahrad Mohammadzadeh ⋅ Ivan Anokhin ⋅ Jacob-Junqi Tian ⋅ Mandana Samiei ⋅ Taz Scott-Talib ⋅ Irina Rish ⋅ Doina Precup ⋅ Reihaneh Rabbany ⋅ Nishanth V Anand
→ LUQ: Language Models Uncertainty Quantification Toolkit
Alexander V Nikitin ⋅ Martin Trapp ⋅ Pekka Marttinen
→ DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning
Julien Vignoud ⋅ Martin Jaggi ⋅ Mary-Anne Hartley ⋅ Tahseen Rabbani ⋅ Valérian Rousset
→ Reproducible sampling from intractable distributions with Pigeons.jl
Miguel Biron-Lattes ⋅ Nikola Surjanovic ⋅ Paul Tiede ⋅ Saifuddin Syed ⋅ Trevor Campbell ⋅ Alexandre Bouchard-Côté
→ FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
Val Andrei Fajardo ⋅ D. Emerson ⋅ Amandeep Singh ⋅ Marcelo Lotif ⋅ Veronica Chatrath ⋅ Izuki Matsuba ⋅ Chi Cheung ⋅ Ravi Theja Desetty
→ TorchAO: PyTorch-Native Training-to-Serving Model Optimization
Andrew Or ⋅ Apurva Jain ⋅ Daniel Vega-Myhre ⋅ Jesse Cai ⋅ Charles Hernandez ⋅ Zhenrui Zhang ⋅ Driss Guessous ⋅ Vasiliy Kuznetsov ⋅ Christian Puhrsch ⋅ Mark Saroufim ⋅ Supriya Rao
→ Control Flow Operators in PyTorch
Yidi Wu ⋅ Thomas Ortner ⋅ Edward Yang ⋅ Horace He ⋅ Yanan Cao
→ A2Perf: Benchmarking Autonomous Agents End-to-End in Realistic Domains
Ikechukwu Uchendu ⋅ Jason Jabbour ⋅ Korneel Van den Berghe ⋅ Joel Runevic ⋅ Matthew Stewart ⋅ Jeffrey Ma ⋅ Srivatsan Krishnan ⋅ Izzeddin Gur ⋅ Austin Huang ⋅ Colton Bishop ⋅ Paige Bailey ⋅ Wenjie Jiang ⋅ Ebrahim M. Songhori ⋅ Sergio Guadarrama ⋅ Jie Tan ⋅ Jordan Terry ⋅ Aleksandra Faust ⋅ Vijay Janapa Reddi
→ laplax - Laplace Approximations with JAX
Tobias Weber ⋅ Bálint Mucsányi ⋅ Lenard Rommel ⋅ Thomas Christie ⋅ Lars Kasüschke ⋅ Marvin Pförtner ⋅ Philipp Hennig
→ PyLO: Towards Accessible Learned Optimizers in Pytorch
Paul Janson ⋅ Benjamin Thérien ⋅ Quentin Anthony ⋅ Xiaolong Huang ⋅ Abhinav Moudgil ⋅ Eugene Belilovsky
→ BoFire: Bayesian Optimization Framework Intended for Real Experiments
Johannes P. Dürholt ⋅ Thomas Asche ⋅ Johanna Kleinekorte ⋅ Gabriel Mancino-Ball ⋅ Benjamin Schiller ⋅ Simon Sung ⋅ Julian Keupp ⋅ Aaron P. Osburg ⋅ Toby Boyne ⋅ Ruth Misener ⋅ Rosona Eldred ⋅ Chrysoula Kappatou ⋅ Robert Lee ⋅ Dominik Linzner ⋅ Wagner Steuer Costa ⋅ David Walz ⋅ Niklas Wulkow ⋅ Behrang Shafei
→ Spatial Reasoning over Continuous Variables with PySpaRe
Bartlomiej Pogodzinski ⋅ Christopher Wewer ⋅ Bernt Schiele ⋅ Jan Eric Lenssen
→ OpenDG: A Modular Framework for Machine Learning on Dynamic Graphs
Jacob Chmura ⋅ Shenyang (Andy) Huang ⋅ Ali Parviz ⋅ Farimah Poursafaei ⋅ Michael Bronstein ⋅ Guillaume Rabusseau ⋅ Matthias Fey ⋅ Reihaneh Rabbany
→ M(M)ORE : Massive Multimodal Open RAG & Extraction
Alexandre Sallinen ⋅ Stefan Krsteski ⋅ Paul Teiletche ⋅ Allard Marc-Antoine ⋅ Baptiste Lecoeur ⋅ Michael Zhang ⋅ Fabrice Nemo ⋅ David Kalajdzic ⋅ Matthias Meyer ⋅ Mary-Anne Hartley
→ Liger-Kernel: Efficient Triton Kernels for LLM Training
Pin-Lun Hsu ⋅ Yun Dai ⋅ Vignesh Kothapalli ⋅ Qingquan Song ⋅ Shao Tang ⋅ Siyu Zhu ⋅ Steven Shimizu ⋅ Shivam Sahni ⋅ Haowen Ning ⋅ Yanning Chen ⋅ Zhipeng Wang
→ olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
Jake Poznanski ⋅ Aman Rangapur ⋅ Jon Borchardt ⋅ Jason Dunkelberger ⋅ Christopher Wilhelm ⋅ Kyle Lo ⋅ Luca Soldaini
8:00 AM
Panel discussion
Evan Shelhamer ⋅ Matthew Johnson ⋅ Stella Biderman ⋅ Tri Dao
8:55 AM
👋 Closing remarks
Alina Selega ⋅ Frank Schneider ⋅ Geoff Pleiss ⋅ Jonathan Wenger ⋅ Jūlija Pečerska