Search Results for "benchmark"
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16 projects for "benchmark" with 2 filters applied:
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Benchmark
A microbenchmark support library
A library to benchmark code snippets, similar to unit tests. -
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ARC-AGI
The Abstraction and Reasoning Corpus
ARC-AGI is a benchmark dataset and experimental framework designed to evaluate and advance artificial general intelligence by testing systems on abstract reasoning tasks that require human-like problem-solving abilities. It consists of a curated set of tasks where models must infer patterns from input-output examples and apply those rules to new unseen cases, without relying on memorization or prior training data. -
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NYC Taxi Data
Import public NYC taxi and for-hire vehicle (Uber, Lyft)
...It also contains example analyses—spatial and temporal visualizations like maps, time-series plots, and hotspot detection—highlighting insights such as patterns of demand, peak times, and geospatial distributions. The repository is often used as a benchmark dataset and example for teaching, benchmarking, and demonstration purposes in the data science and urban analytics communities. -
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Napkin Math
Techniques and numbers for estimating system's performance
Napkin Math is a technical reference project for estimating software system performance from first principles. It collects practical numbers, benchmark-style measurements, and mental models that help engineers make fast back-of-the-envelope calculations. The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume. It treats these values as rounded numbers for reasoning rather than exact performance guarantees. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
...Within the framework, you can define custom agents, environments, policy networks, and reward structures while leveraging built-in dataset utilities, logging, and checkpointing for reproducible experiments. RLM also includes integration with popular simulation environments and benchmark suites, giving researchers a ready-made playground for algorithm comparison and performance tracking. -
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chinese-independent-developer
List of independent developer projects in China
...It also acts as a historical snapshot of the Chinese indie dev ecosystem, preserving projects even after they have stopped active development. For new indie creators, the list works as inspiration and a benchmark, illustrating a spectrum of product ideas, niches, and business models that others have tried. -
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engineering-management
A collection of inspiring resources related to engineering management
...Many entries come from experienced leaders sharing hard-won lessons, so the list doubles as a mentorship proxy for new managers. It is especially useful for individual contributors transitioning into management, or for existing managers who want to benchmark and refine their practices. -
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Open LLMs
A list of open LLMs available for commercial use
...It aggregates metadata, licensing info, and often pointers to the model weights or model cards — helping users quickly compare models by size, license, domain, and capabilities. By compiling this in one place, open-llms reduces friction in exploring the LLM space, making it easier to try different models, benchmark them, or build custom applications. -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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How They DevOps
A curated collection of publicly available resources
...This gives learners and teams a reality check: DevOps at scale is opinionated, messy, and adapted to business constraints. It’s especially useful for people building a DevOps function who want to benchmark against recognizable names before picking tools. The repository also serves as inspiration for internal presentations and proposals because you can say “this is how X does it” and back it up. Over time, as new companies publish engineering blogs and postmortems, the repo can be updated to reflect current industry setups. -
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Specter
Clojure(Script)'s missing piece
...Navigators can be composed with any other navigators, allowing sophisticated manipulations to be expressed very concisely. In addition, Specter has performance rivaling hand-optimized code (see this benchmark). Clojure's only comparable built-in operations are get-in and update-in, and the Specter equivalents are 30% and 85% faster, respectively (while being just as concise). Under the hood, Specter uses advanced dynamic techniques to strip away the overhead of composition. -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. ... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance. -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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Celero
C++ Benchmarking Library
...Written with an API similar to Google Test, Celero utilizes C++11 features, offers tested benchmarking capabilities with microsecond precision, baselining, fixtures, and easy test setup. Use the baseline feature to measure/benchmark algorithm performance against a known case to more accurately rate performance of solutions. -
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MongoLantern - MongoDB Fulltext Search
Open Source MongoDB Fulltext Search Server
MongoLantern is an open source full text search server using MongoDB as index storage, which allows MongoLantern to migrate any changes very easily into account using MongoDB API. It's written originally written in PHP can be migrated to any desired language as required using it's future APIs. MongoLantern 0.7 - Stable/Production Release: 1. MongoLantern API support enabled. 2. CSV indexer added as a plugin. 3. node.js API client added.
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