Showing 561-580 of 1,983 projects
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Simple examples to introduce the PyTorch machine learning library for Python developers.
Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.
A Go-based tool to fetch known URLs from various threat intelligence sources for security analysis.
pyinfra is a powerful infrastructure management tool that helps developers execute commands and manage servers efficiently.
An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.
AI coding tools for developers
Open-source platform for frontier AI/ML workflows, including diffusion models, LLMs, and more.
A powerful PyTorch-based library for time series forecasting with support for AI and machine learning.
Super-scale images using Residual Dense and Adversarial Networks for computer vision tasks.
MegEngine is a fast, scalable, and easy-to-use deep learning framework that supports auto-differentiation.
This repository provides interview preparation resources for AI and machine learning developers.
A machine learning package built to make AI-powered development more accessible for developers.
A machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A comprehensive collection of geospatial tools and resources for data analysis, machine learning, and spatial applications.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
A deep learning-based library for person re-identification in PyTorch.
A comprehensive Chinese textbook on machine learning systems design and implementation.
A high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A distributed training framework for language models using Reinforcement Learning via Human Feedback (RLHF)
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