A curated list of project tutorials for project-based learning.

A curated list of project-based tutorials in C

Curated list of project-based tutorials

Measures and metrics for image2image tasks. PyTorch.

GAN, Diffusion, and Variational AutoEncoder templates

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GPT 3.5/4 with a Chat Web UI. No API key required.

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

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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。

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Diffusion model from scratch, trained on MNIST

From-scratch diffusion model implemented in PyTorch.

In this article we will go through the code from start to finish with DDPM using keras . In the test I will try with fashion_mnist

Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Caffe code to accompany my Tutorial on Variational Autoencoders

A Collection of Variational Autoencoders (VAE) in PyTorch.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)

PyTorch Tutorial for Deep Learning Researchers

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

learning materials for PyTorch beginners

[ICML 2022] Official PyTorch Implementation of "SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks".

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

PyTorch implementations of Generative Adversarial Networks.