Assembly Tutorial is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Machine Learning and Data Mining for Astronomy.
Atomic is an educational resource for learning science, history, language, geography, or general knowledge.
AutoML framework & toolkit for machine learning on graphs.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoKeras goal is to make machine learning accessible for everyone.
Automated Social Science: Language Models as Scientist and Subjects NBER provides machine-learning models, research, training resources, or…
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
A curated list of machine learning models in CoreML format.
Awesome Courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
Curated list of federated learning publications, re-organized from Arxiv (mostly).
Curated list of ML related resources for Ruby.
Awesome Music Theory is a GitHub repository or organization with source code, releases, documentation, or project resources.
List of awesome compiler projects and papers for tensor computation and deep learning.
Benchmarking Hallucination Detection Methods in RAG Towards Data Science provides machine-learning models, research, training resources, or…
CPU and GPU-accelerated Machine Learning Library.
Deploys machine learning projects developed in Python, to Kubernetes.
Fast open framework for deep learning.
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
A PyTorch based deep learning library for drug pair scoring.
Circle Line Art is a YouTube video, playlist, or channel resource for watching related tutorials or media.
Python library for data-centric AI and machine learning with messy, real-world data and labels.