Ordinarabbit's repositories
ES-imagenet-master
code for generating data set ES-ImageNet with corresponding training code
SNN-ANN-Pretrain
official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"
SNN-genunit
developing tools for LIAF-SNNs and LIF-SNNs
THU-CST-Cracker
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
ComplexNetController
The experiment codes for paper: Spatiotemporal input control: leveraging temporal variation in network dynamics
GymRL_Project
DQN algorithm validation with gym/Mario bro
Java-Netdisk
网盘、服务器端和客户端
Python-Learning
MLP,CNN(without dl-framework),Detection, light flow
PyTorch-Networks
Pytorch implementation of cnn network
seg-tracking-anything-demo
xmem+sam/mask2former
ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
CS188-AI-Pacman
人工智能导论-source code and some solution
deep_ev_tracker
Repository relating to "Data-driven Feature Tracking for Event Cameras" (CVPR, 2023, Award Candidate).
DEVA
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
diablo_ros2
diablo ros2 package
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
ImageRegistration
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.
lyh983012.github.io
personal page of linyh
NeuralPlayground
The standardised environment for the hippocampus and entorhinal cortex models
PowerWatcher
Python3 context manager to log power consumption of ML-pipelines running on Nvidia-GPUs.
segment-anything-dev
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
THU-Beamer-Theme
A LaTeX beamer theme template for Tsinghua students.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.