Example chatbot using Gradio, huggingface hub, and the Hugging Face Inference API.
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Exam Samurai provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that creates or edits images with generative AI and text-based controls.
Example chatbot using Gradio, huggingface hub, and the Hugging Face Inference API.
Official plugin resources and examples for extending Claude-based workflows.
A CLIP primer with 3500+ prompt output examples.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
Example of RAG architecture using semantic search and summarization for retrieving Bible passages.
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
GPT-4 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
Discover the large language models examples with insights on business adoption, language model training, and influential models.
Examples and guides for using the OpenAI API.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
Examples for ICASSP2024 paper “StemGen: A music generation model that listens”.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
Analyzes structured data and helps produce queries, insights or visualizations.
Example of how the neural network learns to predict the angle between two points created with Synaptic.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Python materials for the online course on diffusion models by @huggingface.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.