Popular GitHub Repositories for Paired T Test

? Assemble, configure, and deploy autonomous AI Agents in your browser.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

stable diffusion webui colab

? An exciting game of programming and Artificial Intelligence

Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! ????

An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Open source data anonymization and synthetic data platform for developers. Anonymize your production data and sync it across your environments so that developers can safely use it.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

SkyReels V1: The first and most advanced open-source human-centric video foundation model

?️ Generate natural-sounding speech and clone voices without a tokenizer using VoxCPM's context-aware TTS. Experience true-to-life voice generation today.