Ordinarabbit's starred repositories
Tracking-Anything-with-DEVA
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
open-source-mac-os-apps
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
consistencydecoder
Consistency Distilled Diff VAE
PerceptualSimilarity
LPIPS metric. pip install lpips
DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
jupnote_event_demo
Jupyter notebook version of "Continuous-time Intensity Estimation Using Event Cameras"
awesome-snn-conference-paper
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码,正在持续更新中。
SlotDiffusion
Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models
awesome-robotics-libraries
:sunglasses: A curated list of robotics libraries and software
NeuralPlayground
The standardised environment for the hippocampus and entorhinal cortex models
PythonSIFT
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
CUDA_with_PyTorch
这个项目介绍了简单的CUDA入门,涉及到CUDA执行模型、线程层次、CUDA内存模型、核函数的编写方式以及PyTorch使用CUDA扩展的两种方式。通过该项目可以基本入门基于PyTorch的CUDA扩展的开发方式。