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github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
intl.cloud.baidu.com
Documentation for Baidu Qianfan, covering setup, features, and practical usage.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
huggingface.co
Curated list of Turkish AI models, datasets, papers.
github.com
List of awesome compiler projects and papers for tensor computation and deep learning.
github.com
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
github.com
Curated list of ML related resources for Ruby.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
github.com
A curated list of machine learning models in CoreML format.
prompts.chat
Awesome ChatGPT Prompts provides machine-learning models, research, training resources, or evaluation tools.
github.com
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
huggingface.co
A Blog post by Daniel Huynh on Hugging Face.
Automated Social Science: Language Models as Scientist and Subjects NBER provides machine-learning models, research, training resources, or…
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
AutoKeras goal is to make machine learning accessible for everyone.
github.com
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
github.com
AutoML framework & toolkit for machine learning on graphs.
github.com
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.