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Integrate with providers using LangChain Python.

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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.

LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

Python vector database you just need - no more, no less.

List of wrappers for accessing ChatGPT in platform such as Discord, Telegram, and languages such as Python, JS.

The easiest, and fastest way to run AI-generated Python code safely.

Open-source Python library enabling ML model inspection and interpretation.

An open source Python library focused on outlier, adversarial and drift detection.

A simple, but essential Bayesian optimization package, written in Python.

Bayesian Inference Tools in Python.

Python bindings for the BLLIP natural language parser.

Deploys machine learning projects developed in Python, to Kubernetes.

Runtime monitoring for AI agents — heartbeat watchdog, loop detection, cost tracking, auto-restart. Python SDK or HTTP API.

Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

DLib has C++ and Python interfaces for face detection and training general object detectors.

A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.

Python library for scalable Bayesian optimisation.