AI Data & Analytics

Jsonify builds extraction pipelines that fetch, process, and verify public data from websites and apps, then keep them running.

Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms.

Open-RAG-Eval evaluates retrieval-augmented generation without requiring golden answers.

nilearn provides Python tools for machine learning and neuroimaging analysis.

Aura AI Scan analyzes YouTube videos with timestamped frame descriptions and audio transcription.

pytorch tabular provides a unified framework for deep learning models on tabular data.

Intellectia AI provides investing insights, market data, and research tools for tracking financial markets.

mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.

Chroma provides open-source data infrastructure for AI applications, with vector, full-text, regex, and metadata search.

Artificial Analysis compares AI models and API providers using benchmarks for quality, price, speed, and latency.

OpenPose detects body, face, hand, and foot keypoints for multiple people in real time.

Scoop Analytics diagnoses business performance across locations and cycles using plain-language analysis of operational data.

Python package which helps to debug machine learning classifiers and explain their predictions.

Composer lets users build trading algorithms with AI, backtest strategies, and execute them through an investment app.

Rivestack provides managed PostgreSQL with pgvector on NVMe for AI vector search.

HarvestAi predicts crop yields and harvest timing for indoor farms growing produce such as tomatoes, peppers, and strawberries.

This repository provides segmentation models with pretrained backbones for Keras and TensorFlow Keras.

This repository provides semantic segmentation models with more than 500 pretrained convolutional and transformer backbones.

DB-GPT is an open-source agentic data assistant for AI and data products.

Privatiser anonymizes sensitive data such as IPs, API keys, passwords, and personal information before sharing with AI.

LLMeBench provides a flexible framework for benchmarking large language models.

Gensim supports efficient topic modeling of text semantics with its Python library.

Little Ball of Fur provides graph sampling extensions for NetworKit and NetworkX.

This Hugging Face article describes SelfCheckGPT NLI for detecting hallucinations in generated answers.