A collective list of free APIs

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

The Python micro framework for building web applications.

scikit-learn: machine learning in Python

Universal memory layer for AI Agents

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

DSPy: The framework for programming—not prompting—language models

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

The fundamental package for scientific computing with Python.

A very fast and expressive template engine.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Interpretability and explainability of data and machine learning models

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering

LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook

Faker is a Python package that generates fake data for you.

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage/document ranking

Machine Learning automation and tracking

A Cpu Diagram creted in logisim with simple asembler. Created for learning purposes and low level understanding.

Integrating Airbyte, Kafka, Airflow and MLflow on Azure Linux VMs within private network to continuously retrain LSTM Attention model with 1-minute stock prices and redeploy it on Azure ML AKS real…

This Python script generates a random 20-character password with a mix of letters, digits, and special characters, copying it to the clipboard for easy use.

Ongoing handbook with practice-orientated examples, quick-fixes, symptoms, tests for leaks during data preparation and model development