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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🔊 Text-Prompted Generative Audio Model
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
StableLM: Stability AI Language Models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A multi-voice TTS system trained with an emphasis on quality
High-Resolution Image Synthesis with Latent Diffusion Models
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Foundational Models for State-of-the-Art Speech and Text Translation
QLoRA: Efficient Finetuning of Quantized LLMs
LAVIS - A One-stop Library for Language-Vision Intelligence
Official inference library for Mistral models
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion