ICML 2025 Past Other
Championing Open-source DEvelopment in ML Workshop @ ICML25
CODEML@ICML25
- Submission deadline
- May 27, 2025, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (44)
Fetched from OpenReview (v2) on 2026-06-10.
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$\texttt{markovml}$: A Python Package for Verifying Markov Processes with Embedded Machine Learning Models
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A2Perf: Benchmarking Autonomous Agents End-to-End in Realistic Domains
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AIF-GEN: Open-Source Platform and Synthetic Dataset Suite for Reinforcement Learning on Large Language Models
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An LLM-Powered Tool for Enhancing Scientific Open-Source Repositories
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An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models
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Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
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BoFire: Bayesian Optimization Framework Intended for Real Experiments
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Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
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Control Flow Operators in PyTorch
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cp_measure: API-first feature extraction for image-based profiling workflows
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DeepChem-Variant: A Modular Open Source Framework for Genomic Variant Calling
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Deploying User-Friendly Software: Six Recommendations to Make Single-Cell Foundation Models More Usable For Scientific Discovery
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Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights
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DINOHash: Learning Adversarially Robust Perceptual Hashes from Self-Supervised Features
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DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning
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EXO Gym: a simulation environment for low-bandwidth training
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FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
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If open source is to win, it must go public
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KernelBot: A Competition Platform for Writing Heterogeneous GPU Code
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laplax - Laplace Approximations with JAX
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Liger-Kernel: Efficient Triton Kernels for LLM Training
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LUQ: Language Models Uncertainty Quantification Toolkit
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M(M)ORE : Massive Multimodal Open RAG & Extraction
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Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks
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Meta-World+: An Improved, Standardized, RL Benchmark
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N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
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olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
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Open-Source Foosball Benchmark for Deep Reinforcement Learning
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Orthogonium: A Unified, Efficient Library of Orthogonal and 1‑Lipschitz Building Blocks
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Provenance Design and Evolution in a Production ML Library
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PyLO: Towards Accessible Learned Optimizers in Pytorch
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RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing
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Reproducible sampling from intractable distributions with Pigeons.jl
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SAGDA: Open-Source Synthetic Agriculture Data for Africa
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Scaling Private Deep Learning with Opacus: Advances for Large Language Models
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skglm: Improving scikit-learn for Regularized Generalized Linear Models
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Spatial Reasoners for Continuous Variables in Any Domain
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Swizz: One-Liner Figures, LaTeX Tables, and Flexible Layouts for Scientific Papers
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TGM: A Modular Framework for Machine Learning on Temporal Graphs
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TorchAO: PyTorch-Native Training-to-Serving Model Optimization
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TorchTitan: A PyTorch Native Platform for Training Generative AI Models
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Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions
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Write Code that People Want to Use
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ZKLoRA: Efficient Zero-Knowledge Proofs for LoRA Verification