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此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
StyleGAN2 - Official TensorFlow Implementation
Official PyTorch implementation of StyleGAN3
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
pix2pix3D: Generating 3D Objects from 2D User Inputs
A contrastive learning based semi-supervised segmentation network for medical image segmentation
A quickstart and benchmark for pytorch distributed training.
code and trained models for "Attentional Feature Fusion"
Datasets, Transforms and Models specific to Computer Vision
A latent text-to-image diffusion model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
deep learning for image processing including classification and object-detection etc.
Code release of paper Improving neural implicit surfaces geometry with patch warping
A collaboration friendly studio for NeRFs
Fast neural radiance field training with free camera trajectories
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction (NeurIPS 2022)
Code release for NeRF (Neural Radiance Fields)