Write scalable load tests in plain Python 🚗💨
Merlion: A Machine Learning Framework for Time Series Intelligence
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K3-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3
pytest fixture for benchmarking code
Unsupervised time series anomaly detection library
FuzzBench - Fuzzer benchmarking as a service.
ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.
A collection of GNN-based fake news detection models.
Structural variant toolkit for VCFs
DreamLayer Eval: open-source benchmarking for image and video diffusion models. Automate prompts, seeds, and metrics for reproducible results. A research project from DreamLayer AI (dreamlayer.io).
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
RecBench: An Open Benchmark for Evaluating Recommendation Models https://openbenchmark.github.io/BARS
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