A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
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A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Go HTTP request router and web framework benchmark
Benchmarks of Go serialization methods
Easy and extensible benchmarking in Elixir providing you with lots of statistics!
Fast Compiler for C# Expression Trees and the lightweight LightExpression alternative. Diagnostic and code generation tools for the expressions.
jsperf.com v2. https://github.com/h5bp/lazyweb-requests/issues/174
Microbenchmarking app for Swift with nice log-log plots
Computational framework for reinforcement learning in traffic control
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Skynet 1M threads microbenchmark
Python Performance Benchmark Suite
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
A High Performance HTTP Server for Ruby
🐰 Bencher - Continuous Benchmarking
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
C++ Benchmark Authoring Library/Framework
Scala macros for compile-time generation of safe and ultra-fast JSON codecs + circe booster
A collection of resources covering different aspects of JMeter usage.
Harmful workload generator for PostgreSQL
HammerDB: The industry standard open-source database benchmark
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
TranslatedSprix AI at 屿智同行 (Yuzhi Tongxing, "island wisdom traveling together") × 保研岛 (Baoyan Dao, "Baoyan Island") — an open-source benchmark for AI agents in Baoyan advising and application planning.
Implement one small API on SQLite in any language; we benchmark it on a $12 server (1 vCPU, 2 GB)