jlhou

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

DB-GPT

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

ImageClassification-PyTorch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

SimpleAICV_pytorch_training_examples

SimpleAICV:pytorch training and testing examples.

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

SCNet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

pyconv

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

awesome-image-classification

A curated list of deep learning image classification papers and codes

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

HBONet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2

ACNet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

ShuffleNet-Series

HetConvolution2d_pytorch

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement

Efficient-HetConv-Heterogeneous-Kernel-Based-Convolutions

Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

Temporal-Shift-Module

Unofficial implementation for paper `Temporal Shift Module for Efficient Video Understanding`

shiftresnet-cifar

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

shiftnet

Neural networks with only 1x1 convolutions. Period.

Computer-Vision-Leaderboard

Comparison of famous convolutional neural network models

Embedded-Neural-Network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

ShuffleNet-Series

KSE

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

semseg

Semantic Segmentation in Pytorch

PytorchInsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Visual-analytics-and-Interpretability-in-Deep-Learning

本项目主要是通过可视分析的手段，对深度学习的可解释性做出讨论与探讨。并且记录小组成员的学习过程与工作