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Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.
Distinguishing between photographic images (PG) and computer-generated (CG) images is a difficult task. In this work, we construct an effective nerual network for this fundamental image forensic problem.
A new ORM for Python specially for PostgreSQL. Fully-typed for any query with Pydantic and auto-model generation, compatible with any sync or async driver
Simple library based on https://github.com/osigaud/Basic-Policy-Gradient-Labs made for the Master's project: Comparison of Evolutionnary Methods and Reinforcement Learning methods on classical control benchmarks. Supervised by Prof Olivier Sigaud with Damien Legros.