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3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

caffe2

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

caffebvlcplus

Caffe: a fast open framework for deep learning.

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

convnext

Code release for ConvNeXt model

cream

This is a collection of our NAS and Vision Transformer work.

cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-learning-with-caffe

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

densenas

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

energy_ood

fusenet

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

fw-net

FW-Net for image denoising

graph-mlpmixer

Repository for Graph MLP-Mixer

hrnet-fcos

High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm

hrnet-image-classification

Train the HRNet model on ImageNet

hrnet-semantic-segmentation-1

High-resolution representation learning (HRNets) for Semantic Segmentation

hrnet-tmp

igcv3

Code and Pretrained model for IGCV3

levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

megatron-lm

Ongoing research training transformer models at scale

mesh

MPI-IS Mesh Processing Library

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

pose-hg-train

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

qingyang

手机访问电脑文件，上传下载，控制鼠标

resnest

ResNeSt: Split-Attention Networks