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Face recognition library that recognizes and manipulates faces from Python or from the command line.

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

Deep learning operations reinvented (for pytorch, tensorflow, jax and others).

Python library for experiment metrics logging into simply formatted local files.

Python library for scalable Bayesian optimisation.

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

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

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

Deconstructing the AI Myth: Fallacies and Harms of Algorithmification provides machine-learning models, research, training resources, or evaluation…

Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.

Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.

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

Creates, rewrites or summarizes written content with language models.

A data orchestrator for machine learning, analytics, and ETL.

Credyt is real-time monetization infrastructure for AI. Observe your spend, control your exposure, and bill your customers across every pricing model.

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

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

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

Python library for data-centric AI and machine learning with messy, real-world data and labels.

Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.

A PyTorch based deep learning library for drug pair scoring.

Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.

Model interpretability and understanding library for PyTorch.

Everything you need to know to build your own RAG application.