zyc4me's repositories
dotfiles
Configs(VSCode, LLDB, Vim, Emacs, mirrors) & Snippets(Python, C++, Shell)
UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
GKT
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
LibMTL
A PyTorch Library for Multi-Task Learning
PETR
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Vision-Centric-BEV-Perception
Vision-Centric BEV Perception: A Survey
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
self-driving-ish_computer_vision_system
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
ncnnqat
quantize aware training package for NCNN on pytorch
nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
FCOS_Tensorflow
FCOS: Fully Convolutional One-Stage Object Detection.
nvue
An alternative to nvidia-smi
cmake_examples
Easy-to-copy CMake examples
PQDet
One stage object detection model based on YOLOv3, written in PyTorch.
Book
:green_book:我的个人书籍学习和收藏
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
model-compression
model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for quantization)
Stronger-yolo-pytorch
Pytorch implementation of Stronger-Yolo with channel pruning and Mobiledevice deployment.
pytorch_tricks
some tircks for PyTorch
models
Models and examples built with TensorFlow
MixNet-Pytorch
A PyTorch Implementation of MixNet
PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Object-Detection-API-Tensorflow
Object Detection API Tensorflow
mobilenetv3.pytorch
73.2% MobileNetV3-Large and 67.1% MobileNetV3-Small model on ImageNet
mnasnet_tensorflow
MNASNET Tensorflow
PeleeNet
PeleeNet: An efficient DenseNet architecture for mobile devices
tensorflow
An Open Source Machine Learning Framework for Everyone
shufflenet-v2-tensorflow
Tensorflow ShuffleNet v2 implementation