nsl2014fm's repositories
Augmentation-PyTorch-Transforms
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
AutoGPT-Next-Web
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.一键免费部署你的私人AutoGPT 网页应用
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。怎么让它听你的话。
CenterFace
face detection
eos
A lightweight 3D Morphable Face Model fitting library in modern C++14
face_landmark
A simple method for face alignment based on wingloss and mutitask learning :)
FaceLandmark1000
1000点的人脸关键点检测
fingerpose
Finger pose classifier for hand landmarks detected by TensorFlow.js handpose model
Halpe-FullBody
Halpe: full body human pose estimation and human-object interaction detection dataset
imgaug
Image augmentation for machine learning experiments.
mitorch_models
Collection of vision PyTorch models with a focus on code readability
mmdetection-mini
mmdetection最小学习版
mmpose_mnn
c++ implementation of mmpose inference, for pose estimation based on MNN
MobilePose-pytorch
Light-weight Single Person Pose Estimator
nerfacc
A General NeRF Acceleration Toolbox in PyTorch.
object-detection-usages
The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.
One-Shot_Free-View_Neural_Talking_Head_Synthesis
Unofficial pytorch implementation of paper "One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing"
openai-proxy
OpenAI/ChatGPT 免翻墙代理
Peppa_Pig_Face_Engine
A simple face detect and alignment method, which is easy and stable.
photo2cartoon
人像卡通化探索项目
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
pytorch-quant
Quantization of Mobilenet V2 in Pytorch
Real-Time-2D-and-3D-Hand-Pose-Estimation
Real-Time 2D and 3D Hand Pose Estimation from RGB Image
spidery
用scrapy写的ip代理池
tianya
:books: 天涯帖子备份
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.