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Effortless data labeling with AI support from Segment Anything and other powerful models.
A Python library for the StarCraft II Learning Environment, enabling reinforcement learning and machine learning.
TensorFlow examples repository for developers interested in exploring machine learning and AI capabilities.
A curated list of machine learning techniques and resources for cybersecurity professionals.
A curated list of awesome embedded programming tools and resources for vibe coders working with AI and IoT.
Fast, lightweight Docker and Linux virtual machine management tool for developers and DevOps teams.
A collection of Python code examples and tutorials for data science, machine learning, and web development.
UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.
Automated Machine Learning with scikit-learn
Introduction to Machine Learning with Python, a book and code repository for learning ML fundamentals.
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
Production infrastructure for running machine learning models at scale
Accessible large language models via k-bit quantization for PyTorch developers working with AI tools.
A comprehensive cheatsheet covering classical machine learning equations and diagrams.
A modular and extendible Python package for deep learning-based click-through rate prediction models.
tensorboardX provides a PyTorch-friendly interface to TensorBoard, a popular visualization tool for machine learning.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.
A self-hosted, open-source photo management service built with Python and Django.
BertViz is a Python library for visualizing attention in transformer models like BERT, GPT-2, and RoBERTa.
A high-performance WebAssembly interpreter and runtime for a variety of platforms and use cases.
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