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🦜🔗 Build context-aware reasoning applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🔊 Text-Prompted Generative Audio Model
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Companion webpage to the book "Mathematics For Machine Learning"
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
PyTorch code and models for the DINOv2 self-supervised learning method.
Inpaint anything using Segment Anything and inpainting models.
String-to-String Algorithms for Natural Language Processing
Using StableDiffusion and ControlNet to generate synthetic aerial images
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect , Segment and Generate Anything with Image and Text Inputs