Search Results for "benchmarks" - Page 13
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Showing 440 open source projects for "benchmarks"
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BlurKit
The missing Android blurring library
...BlurKit is an extraordinarily easy-to-use and performant utility to render real-time blur effects in Android. BlurKit is faster than other blurring libraries due to a number of bitmap retrieval and drawing optimizations. We've been logging benchmarks for the basic high-intensity tasks for a 300dp x 100dp BlurView. -
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DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper
DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in... -
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
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NLP Tasks
Natural Language Processing Tasks and References
...The collection places particular emphasis on deep-learning approaches that were prominent when the repository was assembled. Rather than implementing one NLP system, it serves as a structured starting point for exploring tasks, research directions, benchmarks, and available resources. -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
...The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. It includes model definitions, data loading logic, episodic training loops, and scripts that implement the N-way K-shot evaluation protocol common in few-shot research. Researchers can use this codebase as a starting point to test new ideas, modify relation modules, or transfer the approach to new datasets. -
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The Silver Searcher
A code-searching tool similar to ack, but faster
The Silver Searcher (often referred to as ag) is a fast, open-source command-line code-searching tool, designed as a faster alternative to ack, with a focus on programming-related searches and integration with ignore files. Ag is quite stable now. Most changes are new features, minor bug fixes, or performance improvements. It's much faster than Ack in my benchmarks. Ack and Ag found the same results, but Ag was 34x faster (3.2 seconds vs 110 seconds). My ~/code directory is about 8GB. Thanks to git/hg/ignore, Ag only searched 700MB of that. -
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OpenCE
Contrast Enhancement Techniques for low-light images
...The repository includes training scripts, pretrained models, and testing code, allowing users to reproduce results reported in the paper. It supports standard human pose estimation benchmarks such as COCO, with configurations optimized for accuracy and efficiency. As an open resource, OpenCE offers researchers and practitioners a strong baseline for pose estimation and a foundation for extending CPN-based methods. -
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CFNet
Training a Correlation Filter end-to-end allows lightweight networks
...This allows the tracker to be both computationally efficient and robust to appearance changes such as scale, rotation, and illumination variations. The repository provides pre-trained models, training code, and testing scripts for evaluating the tracker on standard benchmarks. By bridging the gap between correlation filters and deep learning, CFNet provides a foundation for further research in real-time object tracking. -
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Trackmetricks
Fingerprint Attendance system
A classroom bio-metric attendance system, it aims at solving the intricacies of the conventional attendance system -
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Zhao
A compilation of "The Princely Party Relationship Network"
...The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates content associated with Zhao, the repository functions as a personal or shared knowledge base for readers who want insight into a body of research rather than a traditional software library. Depending on the specific subfolders, it could offer implementations of algorithms, dataset processing utilities, or notebooks that illustrate concepts. ... -
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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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LTL3DRA
LTL to deterministic Rabin automata translator based on LTL3BA
...Tested with buddy 2.4. The benchmark used in "Comparison of LTL to Deterministic Rabin Automata Translators" paper published on LPAR19 can be found in Files/LPAR19-benchmarks (https://sourceforge.net/projects/ltl3dra/files/LPAR19-benchmarks/). -
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bugst
Do you want to implement your new program analysis quicky? Use bugst!
... * symtex - Program analysis called Symbolic Execution * cosymtex - Program analysis called Compact Symbolic Execution * segy - Symbolic Memory with pointers and pointer arithmetic * llvm2celllvm - Translates LLVM to constant-expressions-less LLVM. * celllvm2lonka - Translates constant-expressions-less LLVM into Lonka. * C benchmarks - A set of small C programs -
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cnn-benchmarks
Benchmarks for popular CNN models
...It is particularly useful for testing GPUs and optimizing deep learning workloads, as it highlights bottlenecks and performance differences across setups. The repository includes scripts for running benchmarks on various architectures and datasets, making it easy to gather comparative metrics. By simplifying performance evaluation, it helps developers make informed decisions about model design and hardware selection. Overall, cnn-benchmarks is a practical tool for performance analysis in deep learning workflows. -
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Java Sorting
A program to benchmark 5 different sorting algorithms.
This program benchmarks the following sorting algorithms implemented in Java: Quick Sort, Heap Sort, Merge Sort, Selection Sort, and Bubble Sort. A command line GUI was created to facilitate all your benchmark needs. -
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S2CBench
Synthesizable SystemC Benchmark Suite
S2CBench v.2.0 provides 18 programs written in synthesizable SystemC language. Each benchmark is designed for specific domains such as multimedia, digital signal processing, security, image processing, etc. The programs are provided with the objective to enable researchers analyze their innovative algorithms and techniques and help users compare the quality of results of state of the art commercial High Level Synthesis tools available in industry. You can log in to our Youtube channel to... -
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Oyente
An Analysis Tool for Smart Contracts
...A collection of the utilities that were developed for the paper are in misc_utils. Use them at your own risk - they have mostly been disposable. This is an improved version of the tool used for the paper. Benchmarks are not for direct comparison. To run the benchmarks, it is best to use the docker container as it includes the blockchain snapshot necessary. In the container, run batch_run.py after activating the virtualenv. Results are in results.json once the benchmark completes. -
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Attabench
Microbenchmarking app for Swift with nice log-log plots
Attabench is a microbenchmarking app for macOS, designed to measure and visualize the performance of Swift code. This app is for microbenchmarking low-level algorithms with one degree of freedom (usually size). It works by repeatedly performing the same operation on random data of various sizes, while continuously charting the results in nice plots. Attabench's default log-log plots are ideal for seeing your algorithm's performance at a glance. Attabench was originally created to supply nice... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
...Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. The design supports both single-variable and high-dimensional problems, and includes tools for evaluating how well a learned optimizer performs on unseen tasks. -
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ECO
Matlab implementation of the ECO tracker
...It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
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Yaub
yet another useless benchmark
YAUB basically is a C++ framework for benchmarks. Every benchmark is derived from a base class and can do whatever it wants. -
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Code and benchmarks can be found at "Files". We also use git to manage our code and benchmarks, You can found them at "Code". This project provides a tool that implements the Partial Order Reduction for Checking State/Event Linear Temporal Logic. This tool is based on SPIN.
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YACOB
Yet Another CPU Overclocking Benchmark
YACOB is a free assembly of different CPU benchmarks to measure the performance of your setup under realistic conditions. It is using 7zip, Blender, Ffmpeg and a prime calculation to give you various results. -
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Advanced Simulation Library
Free multiphysics simulation software package
...Its computational engine is based, among others, on the Lattice Boltzmann Methods (http://en.wikipedia.org/wiki/Lattice_Boltzmann_methods) and is written in OpenCL (http://en.wikipedia.org/wiki/OpenCL) which enable extraordinarily efficient deployment (http://asl.org.il/benchmarks) on a variety of massively parallel architectures, ranging from inexpensive FPGAs, DSPs and GPUs up to heterogeneous clusters and supercomputers. The engine is hidden entirely behind C++ classes, so that no OpenCL knowledge is required from application programmers. ASL can be utilized to model various coupled physical and chemical phenomena and employed in a multitude of fields: computational fluid dynamics, virtual sensing, industrial process data validation and reconciliation, image-guided surgery, computer-aided engineering, high-performance scientific computing, etc..
