694 Open source projects that are alternatives of or similar to CARLA

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

Fit interpretable models. Explain blackbox machine learning.

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Fast approximate Shapley values in R

Predictive AI layer for existing databases.

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Powerful .NET library for benchmarking

A compilation of Linux server benchmarking scripts.

Test/benchmark regression and comparison system with dashboard

Generate performance reports from your django database performance tests.

A simple benchmark system for compiled and interpreted languages.

Molecular Explanation Generator

Debugging, monitoring and visualization for Python Machine Learning and Data Science

(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining

JavaScript benchmark for common web developer workloads

lzbench is an in-memory benchmark of open-source LZ77/LZSS/LZMA compressors

Benchmarking framework for index structures on persistent memory

The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API

Papers about explainability of GNNs

BenchExec: A Framework for Reliable Benchmarking and Resource Measurement

C++ benchmark tool. Practical, stable and fast performance testing framework.

Examples of Data Science projects and Artificial Intelligence use cases

Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Explaining the output of machine learning models with more accurately estimated Shapley values

jsperf.com v2. https://github.com/h5bp/lazyweb-requests/issues/174

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

The benchmark to compare performance of PHP ORM solutions.

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

🏆 Delightful Benchmarking & Performance Testing

Parallel Patterns Implementation of PARSEC Benchmark Applications

py.test fixture for benchmarking code

🔨 Make the exact performance measurements of the public methods for public classes using this NuGet Package with fluent interface. Requires .Net Standard 2.0+. It is an Open Source project under Apache-2.0 License.

Benchmarking tool to stress real-time protocols

Sysbench Dockerfiles and Scripts for VM and Container benchmarking MySQL

jsbench.me - JavaScript performance benchmarking playground

Tsung is a high-performance benchmark framework for various protocols including HTTP, XMPP, LDAP, etc.

The Phoronix Test Suite open-source, cross-platform automated testing/benchmarking software.

Simple NVME/SAS/SATA SSD test framework for Linux and Windows

A gatling plugin for running load tests on Apache Dubbo(https://github.com/apache/incubator-dubbo) and other java ecosystem.

A Karma plugin to run Benchmark.js over multiple browsers with CI compatible output.

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Benchmarks: write in Scala or JS, run in your browser. Live demo:

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

LuaJIT Benchmark tests

Tool for benchmarking apis. Uses ApacheBench(ab) to generate data and gnuplot for graphing. Adding new features almost daily

MLOps workshop with Amazon SageMaker

Fitness landscape exploration sandbox for biological sequence design.

A repository for explaining feature attributions and feature interactions in deep neural networks.

Graph convolution with tf.keras

A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+

No description or website provided.

Draw pretty micro benchmarking charts in HTML and allow to export them as png for benchee

Deep reinforcement learning with tensorflow2

Benchmarking Linear Assignment Problem Solvers