theNNAx

theNNAx's Stars

• amusi/AI-Job-Resume

  AI 算法岗简历模板

  58186

• EasonEdison/detectron2-train-and-visual

  Try quickly to find the right model and generate visualizations

  Language:Python21

• MingqiangNing/loss_curve

  Language:Python177

• schrodingercatss/tuning_playbook_zh_cn

  一本系统地教你将深度学习模型的性能最大化的战术手册。

  2.6k234

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.1k1.4k

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k162

• Westlake-AI/MogaNet

  [ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

  Language:Jupyter Notebook21013

• EnVision-Research/DDSM

  Denoising Diffusion Step-aware Models (ICLR2024)

  Language:Python521

• TiankaiHang/Min-SNR-Diffusion-Training

  [ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy

  Language:Python2326

• tcl9876/Denoising_Student

  Language:Python264

• Hramchenko/diffusion_distiller

  🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"

  Language:Python22029

• gyyang23/AFPN

  Language:Jupyter Notebook11814

• binyisu/PVEL-AD

  Photovoltaic cell defect detection

  Language:Python818

• microsoft/FocalNet

  [NeurIPS 2022] Official code for "Focal Modulation Networks"

  Language:Python70363

• hktxt/Learn-Statistical-Learning-Method

  Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

  Language:Jupyter Notebook826272

• SmirkCao/Lihang

  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

  Language:Python6k1.6k

• SashaMatsun/LSKDiffDet

  The code implementation of the remote object detection method, described in the paper

  Language:Python56

• yiyuchenguang/PyQt5_Print

  PyQt5工程中的print函数重定向

  Language:Python42

• zhaohao0404/Focal-IoU-loss

  This code for solving the imbalance problems in regression head of object detectors. Comparison methods contain:Smooth-l1, IoU-loss, GIoU-loss, DIoU-loss, CIoU-loss.

  1

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.3k5.5k

• AbaK1r/FasterRcnnWithAttention

  Language:Python52

• yizt/Grad-CAM.pytorch

  pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

  Language:Python731167

• lightningsoon/NN_Inspector

  查看神经网络的秘密

  Language:Python222

• luo3300612/Visualizer

  assistant tools for attention visualization in deep learning

  Language:Jupyter Notebook1k82

• WZMIAOMIAO/deep-learning-for-image-processing

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

  Language:Python23.4k8k

• STVIR/Grid-R-CNN

  Language:Python26148

• LinXueyuanStdio/PyTorch-DDPM

  500 行代码实现降噪扩散模型 DDPM，干净无依赖

  Language:Jupyter Notebook15010

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python39.4k5.1k

• bubbliiiing/ddpm-pytorch

  这个是一个ddpm的pytorch仓库，可以用于训练自己的数据集。

  Language:Python22617

• LuChengTHU/dpm-solver

  Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

  Language:Python1.6k120