github.com
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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gitwit.dev
GitWit is described as an open source, AI-native coding platform intended for building ideas. The site also presents an AI Editor with AI-powered suggestions and real-time collaboration for building, testing, and deploying.
aistudio.google.com
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
aistudio.google.com
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
github.com
Gym4ReaL is an open-source GitHub repository maintained by Daveonwave. It is a Gymnasium-based benchmarking suite for testing reinforcement learning algorithms on real-world scenarios. The repository includes documentation on supported characteristics, reinforcement learning paradigms, folder structure, contribution guidelines, and licensing terms.
github.com
H2O Sparkling Water is an open-source GitHub repository maintained by the h2oai organization. It provides H2O machine learning functionality that can run inside Apache Spark clusters. The repository includes getting started guides, user documentation, binary download options, and resources for testing the tool.
ontestautomation.com
A blog post published September 17, 2024, on On Test Automation, in which author Bas Dijkstra expresses fatigue with how artificial intelligence is applied and marketed in software testing, software development and life generally. The author states no necessary opposition to AI itself, saying he uses it sparingly and with caution.
github.com
ChainForge is an open-source visual programming environment for battle-testing prompts to large language models. It supports querying multiple models at once, comparing response quality across prompts, models and model settings, and setting evaluation metrics to visualize results. Built on ReactFlow and Flask, it can be installed locally with pip or tried on the web, where features are limited.
huggingface.co
Supports software work with AI-assisted coding, testing or application development.
third-bit.com
A book titled JavaScript for Data Science by Maya Gans, Toby Hodges, and Greg Wilson, version 4.0, dated January 2020. It covers topics such as callbacks, promises, objects, classes, HTML, CSS, React, data services, testing, data visualization, and a three-tier web application, with an even mix of browser and server programming. It is intended for scientists and engineers.
github.com
Supports software work with AI-assisted coding, testing or application development.
github.com
Supports software work with AI-assisted coding, testing or application development.
keploy.io
Keploy is an open-source AI-powered API and unit testing tool for developers. It builds a digital twin of production behavior using real API traffic, mocks, and dependencies to verify AI- or human-written code changes in continuous integration pipelines before deployment, and requires no code changes to implement.
victorzhou.com
A beginner-friendly guide on using Keras to implement a simple neural network in Python. It walks through MNIST handwritten digit classification, covering setup, data preparation, building the model, compiling, training, testing and using the model. It is intended for complete beginners to Keras who have a basic background knowledge of neural networks.
respan.ai
Respan is an AI gateway that routes requests to over 1,000 models through one API endpoint, with automatic fallbacks, response caching, and spending limits. It also provides built-in observability for tracing LLM calls, tool calls, and agent steps, plus automated evaluations and security testing for masking PII and red-teaming agents before launch.
kusho.ai
KushoAI is AI-native infrastructure for software maintenance, with autonomous agents integrated into customer CI/CD pipelines to handle continuous testing, healing, and monitoring. It automatically generates test suites from OpenAPI specifications or Postman collections to catch breaking API changes before production.
github.com
LangWatch is a platform for evaluating large language models and testing AI agents. The open-source project is hosted on the GitHub platform under the langwatch organization as the langwatch/langwatch repository.
madewithml.com
Made With ML is an educational resource by Anyscale that teaches how to responsibly design, develop, deploy and iterate on production machine learning applications. Its lessons cover design, data preparation, model training, development, testing, reproducibility and production.
github.com
Mamba-Chat is a chat language model built on a state-space model architecture rather than a transformer. The repository provides training and fine-tuning code based on a modified Huggingface Trainer class. The model is based on Mamba-2.8B and was fine-tuned on 16,000 samples of the HuggingFaceH4/ultrachat_200k dataset. Code is provided for testing and fine-tuning, including a command-line chatbot and a Gradio app.
github.com
Mutahunter is an open-source, language-agnostic mutation testing tool that uses large language models. It is installed as a Python package requiring Python 3.11 or later and run against a repository with a test command, source path and test path, reporting mutation coverage and survived or killed mutants.
privategpt.dev
PrivateGPT is an open-source API layer that turns local models into production AI applications, following the Claude API model. It provides a messages API, file and artifact ingestion, retrieval with citations, embeddings and orchestration, and a built-in workbench UI for testing and demos.
promptfoo.dev
Promptfoo is an AI security testing platform that integrates into development workflows. It connects to AI apps, agents and CI/CD pipelines, generates context-aware attacks, and provides remediation guidance in pull requests. It offers red teaming, an open-source edition and integrations including GitHub Actions, GitLab CI, Jenkins and MCP.
github.com
Rapaio is a statistics, data mining, and machine learning toolbox written in Java. It includes distributions, hypothesis testing, Naive Bayes, logistic regression, decision trees, random forests, boosting, SVM, PCA, and KMeans.
regexai-six.vercel.app
RegexAI is a free online tool for testing regular expressions with live matching. It also builds new patterns from plain-English descriptions of what the user wants to match, according to the site. No signup is required.