Yang Jingru's repositories
mmdet3d2trt
some slimming and deploy work based on pointpillars
money_maker
money maker by automatically upload generated videos to Tiktok
sketch-sparsenet
Sketch-SparseNet: A Novel Sparse-convolution-based Framework for Sketch Recognition
2021_paper_list
read papers, write key points and be a PhD.
ai-deadlines
:alarm_clock: AI conference deadline countdowns
aiimooc_lesson
睿慕课三维点云处理课程作业代码
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
AwesomeCpp
---AWESOME--- C++学习笔记和常见面试知识点,C++11特性,包括智能指针、四种强制转换、function和bind、移动语义、完美转发、tuple、多态原理、虚表、友元函数、符号重载、函数指针、深浅拷贝、struct内存对齐、volatile以及union\static等各种关键字的用法等等
CenterNet2
Two-stage CenterNet
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Contrastive_Learning_Papers
A list of contrastive Learning papers
CVPR2022-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
leedeeprl-notes
李宏毅《深度强化学习》笔记,在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
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
Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.