Repositories
LevelDownRefine/OneDragonRunner
LevelDownRefine/WWBS
LevelDownRefine/MARBLE
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets.
LevelDownRefine/ok-end-field
终末地 End Field Automation 基于ok-script开发的自动化
LevelDownRefine/Gelato
Code and Data for the paper: "Gelato: Graph Edit Distance via Autoregressive Neural Combinatorial Optimization" (ICLR 2026)
LevelDownRefine/BrainNetworkTransformer
The open-source implementation of the NeurIPS 2022 paper Brain Network Transformer.
LevelDownRefine/ok-end-field-x-anylabeling-asset
LevelDownRefine/OneDragon-ScriptChainer
一条龙 千机链 (简易的脚本链式调用工具)
LevelDownRefine/AutoDeepinv
LevelDownRefine/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
LevelDownRefine/ok-script
现代Python游戏自动化框架(支持Windows/模拟器/浏览器)
LevelDownRefine/ok-wuthering-waves-coco-labeling
using xanylabeling
LevelDownRefine/game-launcher-autoupdate
用于打开异环启动器，并且启动异环
LevelDownRefine/ok-wuthering-waves
鸣潮 后台自动战斗 自动刷声骸 一键日常 Automation for Wuthering Waves
LevelDownRefine/ref-ldm
The official implementation of "ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration" [NeurIPS 2024]
LevelDownRefine/LiveCap
LevelDownRefine/ok-nte
异环 后台副本挂机 Automation for Neverness to Everness
LevelDownRefine/THU-BDC2026
LevelDownRefine/ao
PyTorch native quantization and sparsity for training and inference
LevelDownRefine/AttentionDistillation
[CVPR 2025] Attention Distillation: A Unified Approach to Visual Characteristics Transfer
LevelDownRefine/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
LevelDownRefine/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LevelDownRefine/nvbenchmark
LevelDownRefine/mlperf_inference_llama3
Reference implementations of MLPerf™ inference benchmarks