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🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
这是一个clip-pytorch的模型,可以训练自己的数据集。
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Denoising Diffusion Implicit Models
Denoising Diffusion Probabilistic Models
Demos for deep learning
Feedforward style transfer
Fast and memory-efficient exact attention
Is a geometric model required to synthesize novel views from a single image?
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Release for Improved Denoising Diffusion Probabilistic Models
Code for the paper "Improved Techniques for Training GANs"
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
High-Resolution Image Synthesis with Latent Diffusion Models
[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Noise Conditional Score Networks (NeurIPS 2019, Oral)
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
Implementation of "Novel view synthesis with Diffusion models" by Google in JAX distributed
OpenDiT: An Easy, Fast and Memory-Efficient System for DiT Training and Inference
Kolmogorov Arnold Networks
A Collection of Variational Autoencoders (VAE) in PyTorch.
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
some small modules
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.