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A latent text-to-image diffusion 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 ;)
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Learn OpenCV : C++ and Python Examples
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
💿 Free software that works great, and also happens to be open-source Python.
Examples and guides for using the Gemini API
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Public facing notes page
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Best Practices, code samples, and documentation for Computer Vision.
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Flax is a neural network library for JAX that is designed for flexibility.
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
A scikit-learn compatible neural network library that wraps PyTorch
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Reference models and tools for Cloud TPUs.
A simplified implemention of Faster R-CNN that replicate performance from origin paper