Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesome-Deep-Multiview-Clustering
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.
ChristmasTree
cv_related_collections
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DETR-club
This is a repository for DETR seriers code
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
PalmerXiao's Repositories
PalmerXiao/ChristmasTree
PalmerXiao/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
PalmerXiao/Awesome-Deep-Multiview-Clustering
PalmerXiao/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.
PalmerXiao/cv_related_collections
PalmerXiao/CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
PalmerXiao/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
PalmerXiao/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
PalmerXiao/DETR-club
This is a repository for DETR seriers code
PalmerXiao/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
PalmerXiao/EarlyBird
Official Code for "EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View"
PalmerXiao/FreeNOS
Free Niek's Operating System (FreeNOS)
PalmerXiao/machine_learing_study
PalmerXiao/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
PalmerXiao/military-symbology
A user-focused add-in for searching, creating, and editing military symbols in ArcGIS Pro.
PalmerXiao/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly
PalmerXiao/Multi-Drone-Multi-Object-Detection-and-Tracking
PalmerXiao/objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
PalmerXiao/paper-reading
深度学习经典、新论文逐段精读
PalmerXiao/pytorch-template
To be the world's best PyTorch project template.
PalmerXiao/pytorch-tutorial
PyTorch深度学习快速入门教程（绝对通俗易懂！）
PalmerXiao/SiamTrackers
(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning
PalmerXiao/slambook2
edition 2 of the slambook
PalmerXiao/torchkeras
Pytorch❤️ Keras 😋😋
PalmerXiao/yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
PalmerXiao/YOLOV
This repo is an implementation of PyTorch version YOLOV
PalmerXiao/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
PalmerXiao/yolox-pytorch
这是一个yolox-pytorch的源码，可以用于训练自己的模型。
PalmerXiao/z1069614715
PalmerXiao/zotcard
ZotCard is a plug-in for Zotero, which is a card note-taking enhancement tool. It provides card templates (such as concept card, character card, golden sentence card, etc., by default, you can customize other card templates), so you can write cards quickly. In addition, it helps you sort cards and standardize card formats.