Pinned Repositories
ActivityNet
This repository is intended to host tools and demos for ActivityNet
albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Chinese-XLNet
Pre-Trained Chinese XLNet（中文XLNet预训练模型）
ClipBERT
[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.
darknet
Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)
deep-learning-models
Keras code and weights files for popular deep learning models.
DeepSpeechRecognition
A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型
DiverseBranchBlock
Diverse Branch Block: Building a Convolution as an Inception-like Unit
docs
Documentations for PaddlePaddle
edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCVW 2019 https://arxiv.org/abs/1901.00212
XYZ-916's Repositories
XYZ-916/ActivityNet
This repository is intended to host tools and demos for ActivityNet
XYZ-916/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
XYZ-916/Chinese-XLNet
Pre-Trained Chinese XLNet（中文XLNet预训练模型）
XYZ-916/ClipBERT
[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.
XYZ-916/darknet
Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)
XYZ-916/DeepSpeechRecognition
A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型
XYZ-916/DiverseBranchBlock
Diverse Branch Block: Building a Convolution as an Inception-like Unit
XYZ-916/docs
Documentations for PaddlePaddle
XYZ-916/edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCVW 2019 https://arxiv.org/abs/1901.00212
XYZ-916/fairmot_for_vehicle_tracking
XYZ-916/iterm2-zmodem
在 Mac 下，实现与服务器进行便捷的文件上传和下载操作
XYZ-916/keras-retinanet
Keras implementation of RetinaNet object detection.
XYZ-916/MeshNet
MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)
XYZ-916/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
XYZ-916/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
XYZ-916/multi_task_test
Use tensorflow.contrib.slim to training a simple CNN classification model for multi task
XYZ-916/ODConv
The code of Omni-Dimensional Dynamic Convolution (ODConv for short, Spotlight in ICLR2022) is now released, enjoy!
XYZ-916/PaConvert
Code Convert to PaddlePaddle Toolkit
XYZ-916/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
XYZ-916/Paddle-Lite
Multi-platform high performance deep learning inference engine (飞桨多端多平台高性能深度学习推理引擎）
XYZ-916/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
XYZ-916/PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
XYZ-916/PaddleSports
XYZ-916/PaddleUtils
Some tools to operate PaddlePaddle model
XYZ-916/PaddleVideo
Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application
XYZ-916/pkuseg-python
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
XYZ-916/pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
XYZ-916/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
XYZ-916/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
XYZ-916/vrn
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"