learning how CUDA works

A High-Level DRAM Timing, Power and Area Exploration Tool

DRAMsim3: a Cycle-accurate, Thermal-Capable DRAM Simulator

Processing-In-Memory (PIM) Simulator

The official repository for the gem5 computer-system architecture simulator.

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

[HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design

deep learning for image processing including classification and object-detection etc.

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database

Stable Diffusion web UI

Quantifying Uncertainty in Deep Spatiotemporal Forecasting

Artificial Intelligence Research for Science (AIRS)

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

[ICLR 2024] Official implementation for the paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks"

[AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both forward and inverse problems.

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

LaTeX Template of Southeast University Thesis for Class of 2024 Bachelors (东南大学 2024 届本科毕设 LaTeX 模板)

Physics-informed deep super-resolution of spatiotemporal data

Multi-scale time-stepping of PDEs with Transformers

This is a simple tutorial of SSH and PyCharm Deployment.

DeepONet & FNO (with practical extensions)

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs