Write scalable load tests in plain Python 🚗💨
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Updated
May 11, 2025 - Python
Write scalable load tests in plain Python 🚗💨
Merlion: A Machine Learning Framework for Time Series Intelligence
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
pytest fixture for benchmarking code
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
FuzzBench - Fuzzer benchmarking as a service.
Unsupervised time series anomaly detection library
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
LogAI - An open-source library for log analytics and intelligence
SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.
A collection of GNN-based fake news detection models.
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
🔥 Reproducibly benchmarking Keras and PyTorch models
Structural variant toolkit for VCFs
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