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bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

dpp

fpga-based-mpi-system

This repository contains the verilog code of the FPGA control system used in the MPI system, including signal synthesis, SPION original signal acquisition and transmission.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

hfs-sde

[TMI 2024] "High-Frequency Space Diffusion Model for Accelerated MRI"

j-score

modulus

A PyTorch based deep-learning toolkit for developing DL models for physical systems

prompt-engineering-for-developers

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

wunn

WUNN