Directory
Published directory entries matching your search.
Sophon is an AI research paper platform. It showcases trending AI research papers, with each paper linked to the benchmarks, methods and models it introduces. The platform's filtering view covers the 2,000 most recent papers, and it maintains a full index of 22,445 papers.
StudyForrest is a dataset collection built around the movie Forrest Gump, providing reproducible complex sensory input for brain research. It includes fMRI scans, structural brain scans, eye-tracking data and extensive annotations of the movie. The project offers reference datasets for benchmarking brain imaging algorithms and for studying cognition under natural stimulation.
SWE-bench is a benchmark for evaluating large language models on real-world software issues collected from GitHub. Given a codebase and an issue, a language model generates a patch that resolves the described problem.
Here, CLI tools, libraries, Add-ons, Reports, Benchmarks and Sample Scripts for taking advantage of Google Apps Script which are publishing in my blog, Gists and GitHub are summarized.
TestUFO is a web-based tool that provides motion and display benchmarks for monitors and screens. It offers tests for ghosting, frame rate comparisons, PWM, motion blur, judder, and other display performance metrics.
The Pile is an 825 GiB open source language modelling data set made of 22 smaller high-quality datasets combined together. It is offered as a training set and as a benchmark, and is distributed as jsonlines data compressed with zstandard.
A visualisation of major large-language models ranked by performance using the MMLU benchmark, which consists of 16,000 multiple-choice questions across 57 academic subjects. It also presents selected lawsuits filed against AI companies and notes that MMLU has some critiques.
torchvision is a package of popular datasets, model architectures and common image transformations for computer vision. The repository holds documentation, benchmarks, examples, packaging, references and tests alongside the torchvision code. Installation instructions point to official guidance for stable torch and torchvision versions; building from source is covered on the contributing page.
TruLens instruments your AI agent with OpenTelemetry, scores every step with benchmarked LLM judges, and tells you which version to ship.
TurboBench is a data compression benchmark that includes more than 100 codecs and performs in-memory testing to avoid disk I/O effects. It supports multiple files, recursive directories and concatenation of small files into multiblock tests, and automatically creates a nightly GitHub release and benchmarks when submodules change.
VBench is a Hugging Face Space created by Vchitect that hosts a leaderboard for AI video generation models. Users can upload a zip file with their model's evaluation JSON files and provide details such as model name, link, team, and contact email. The application extracts the metrics and updates the benchmark leaderboard accordingly.
Research archive containing dark-web authorship verification datasets and baseline models.
Voltaic is an educational community and elite aiming team focused on improvement, aim and esports talent in first-person shooter games. It offers aim benchmarks and FPS and aim resources, and hosts tournaments, competitions and benchmark rankings.
VRP-REP is a collaborative open-data platform for sharing vehicle routing problem benchmark instances and solutions. Users can upload VRP instances, share them publicly or privately with referees and editors during review, and download instances shared by other users.
WhichLLM is a tool that identifies local large language models that run effectively and perform best on a user's hardware. It ranks models by real, recency-aware benchmarks rather than parameter count, and can be run instantly with a single command.
WizardLM is a repository of large language models including WizardLM, WizardCoder and WizardMath, described as LLMs built upon Evol Instruct. The page lists model checkpoints and benchmark results, with WizardCoder-33B-V1.1 reported at 79.9 pass@1 on HumanEval and WizardMath-7B-V1.1 reported at 83.2 pass@1 on GSM8k.
The Wolfram LLM Benchmarking Project is an ongoing initiative that tracks large language model performance using a benchmark centered on Wolfram Language code generation tasks. It publishes the results of its ongoing performance tracking for LLMs.
A public archive of acceleration techniques for the Stable Diffusion model intended to help generate images faster and more efficiently. It covers AITemplate, nvFuser, TensorRT and FlashAttention, with example images and benchmarks. The repository was archived by the owner on Oct 24, 2025, and is now read-only.
