OpenAI Blog
Jun 28, 2017
Faster physics in Python
We’re open-sourcing a high-performance Python library for robotic simulation using the MuJoCo engine, developed over our past year of robotics research.
Python 3.14 and its New JIT Compiler
A technical overview and some benchmarks The post Python 3. 14 and its New JIT Compiler appeared first on Towards Data Science .
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arXiv AI
Jun 24
JupOtter: Cell-Level Bug Detection in Jupyter Notebooks
arXiv:2606. 23877v1 Announce Type: cross Abstract: Jupyter Notebooks are an increasingly popular coding environment used across many domains, especially in Python-based data science and scientific computing.
arXiv Machine Learning
1d ago
PandasCorpus: A Resource of Real-World Pandas Workflows and Usage Patterns
arXiv:2608. 14742v1 Announce Type: cross Abstract: Pandas has emerged as the de facto library for data processing and machine learning, widely used for tasks, such as data loading, transformation, and analysis.
arXiv AI
Jun 6
A Study of LLMs' Preferences for Libraries and Programming Languages
arXiv:2503. 17181v4 Announce Type: replace-cross Abstract: Despite the rapid progress of large language models (LLMs) in code generation, existing evaluations focus on functional correctness or syntactic validity, overlooking how LLMs make critical design choices such as which library or programming language to use.
arXiv AI
Jun 19
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
arXiv:2606. 20517v1 Announce Type: new Abstract: LiveCodeBench (LCB) has recently become a widely adopted benchmark for evaluating large language models (LLMs) on code-generation tasks.
arXiv Machine Learning
Jul 1
GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2
arXiv:2509. 16248v4 Announce Type: replace-cross Abstract: This paper presents GraphMend, a compiler technique that automatically fixes FX graph breaks in PyTorch 2 programs.
arXiv Machine Learning
Jul 22
AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration
arXiv:2607. 18568v1 Announce Type: new Abstract: Adaptive Mixture Independent Component Analysis (AMICA) is widely used in EEG research and has long been associated with strong empirical performance for blind source separation.
arXiv AI
Aug 10
A Fortran General-Purpose Transpiler: Proof of Concept
arXiv:2608. 00130v2 Announce Type: replace-cross Abstract: Fortran has been the cornerstone of high-performance computing for decades and remains unmatched in many domains.
arXiv Machine Learning
Jul 17
Quantize with Confidence? An Empirical Study of Quantization for Code Generation
arXiv:2607. 14181v1 Announce Type: cross Abstract: The growing adoption of local inference frameworks such as Ollama has made it increasingly common for developers to run large code models on laptops and other resource-constrained hardware.
Towards Data Science
Jun 11
NuCS vs Choco: A Pure-Python Constraint Solver Meets a JVM Veteran
An in-depth performance test comparing Nucs and Choco The post NuCS vs Choco: A Pure-Python Constraint Solver Meets a JVM Veteran appeared first on Towards Data Science .
arXiv AI
Jun 15
Protean Compiler: An Agile Framework to Drive Fine-grain Phase Ordering
arXiv:2602. 06142v3 Announce Type: replace-cross Abstract: The phase ordering problem has been a long-standing challenge since the late 1970s, yet it remains an open problem due to having a vast optimization space and an unbounded nature, making it an open-ended problem without a finite solution, one can limit the scope by reducing the number and the length of optimizations.
arXiv AI
Jul 7
Why3-py: A Tool for Formal Verification of Hypothesis Testing and Meta-Analysis in Python
arXiv:2607. 03951v1 Announce Type: cross Abstract: The reproducibility crisis in scientific research has received widespread recognition, thereby increasing the importance of meta-analyses that integrate statistical analyses from multiple studies.