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🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called T…
The official Python library for the OpenAI API
High-Resolution Image Synthesis with Latent Diffusion Models
🏡 Open source home automation that puts local control and privacy first.
Open-source IoT Platform - Device management, data collection, processing and visualization.
基于人脸关键区域提取的人脸识别（LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+）
[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Unity Post Processing Stack Library | Unity引擎的高品质后处理库
Lightweight Stable Diffusion v 2.1 web UI: txt2img, img2img, depth2img, inpaint and upscale4x.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
This is the official implementation of paper "Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration".
[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
DANCE: a deep learning library and benchmark platform for single-cell analysis
LAVIS - A One-stop Library for Language-Vision Intelligence
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
StyleGAN2-ADA - Official PyTorch implementation
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
An official implementation of MobileStyleGAN in PyTorch
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks