kevin's repositories
ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
CS_Python_Notes
Some notes about computer sience and Python.
data_process
data process,load for pytorch
DB-GPT
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
ddfnet
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FaPN-full
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
GFNet-Pytorch
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.
google-research
Google Research
HDC-Net
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation
llama_index
LlamaIndex is a data framework for your LLM applications
mmcv
OpenMMLab Computer Vision Foundation
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
pacnet
Pixel-Adaptive Convolutional Neural Networks (CVPR '19)
PPT
重要的汇报ppt
pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
pytorch-ImageNet-CIFAR-COCO-VOC-training
Training examples and results for ImageNet/CIFAR/COCO/VOC training.
RANet-pytorch
Resolution adaptive network
SCNet
The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"
Semantic-Segmentation-Loss-Functions
This Repository is implementation of majority of Semantic Segmentation Loss Functions