Manuel-Z's Stars
muskie82/MonoGS
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
robodrive-24/toolkit
Official Toolkit for The RoboDrive Challenge
graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
zhangyin1996/ISP-Teacher
[AAAI24] ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
AIR-THU/DAIR-V2X-Seq
mli/paper-reading
深度学习经典、新论文逐段精读
594422814/TransformerTrack
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
MCG-NJU/AdaMixer
[CVPR 2022 Oral] AdaMixer: A Fast-Converging Query-Based Object Detector
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
dongnana777/Bridging-Non-Co-occurrence
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
facebookresearch/Ego4d
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
TianhaoFu/Awesome-3D-Object-Detection
Papers, code and datasets about deep learning for 3D Object Detection.
zhaozhengChen/ReCAM
The official code of CVPR 2022 paper (Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation).
Manuel-Z/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
NVIDIA/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
tensorflow/docs
TensorFlow documentation
o0o0o0o0o0o0o/image-processing-from-scratch
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.
eastmountyxz/ImageProcessing-Python
该资源为作者在CSDN的撰写Python图像处理文章的支撑,主要是Python实现图像处理、图像识别、图像分类等算法代码实现,希望该资源对您有所帮助,一起加油。
weiaicunzai/awesome-image-classification
A curated list of deep learning image classification papers and codes
scikit-image/skimage-tutorials
skimage-tutorials: a collection of tutorials for the scikit-image package.
facebookresearch/votenet
Deep Hough Voting for 3D Object Detection in Point Clouds
handspeaker/RandomForests
a 1500 lines simple C++ implementation of RandomForests with detailed comments
parrt/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn models
doubleplusplus/incremental_decision_tree-CART-Random_Forest
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
LiteOS/LiteOS
code and manual
kjw0612/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
glouppe/phd-thesis
Repository of my thesis "Understanding Random Forests"