hoseung.kim's starred repositories
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Neural-Networks-on-Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
lite.ai.toolkit
đź› A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
onnx-simplifier
Simplify your onnx model
onnx-pytorch
A code generator from ONNX to PyTorch code
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Auto-Compression
Automatic DNN compression tool with various model compression and neural architecture search techniques
ANT-Model-DB
ANT framework's model database that provides DNN models for the various range of IoT devices
Virtual-Connection
Virtual Connection: Framework for P2P Communication Abstraction
CNN-on-flash
CNN functions for dense matrices resident in flash storage
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Incremental-Network-Quantization
Caffe Implementation for Incremental network quantization
squeezeDet
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.