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304first

this is the first project that 304 together

adversarial-steganography

bert4pytorch

超轻量级bert的pytorch版本，大量中文注释，容易修改结构，持续更新

bert4torch

pytorch implement of transformers refer to bert4keras

caffe

Caffe: a fast open framework for deep learning.

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

caffe_train

caffe train face licenseplate reID action ocr centernet

chatdocbot

智能客服

colossalai

Colossal-AI: A Unified Deep Learning System for Big Model Era

cosine_metric_learning

Deep Cosine Metric Learning for Person Re-identification

dcnv2

Deformable Convolutional Networks v2 with Pytorch

dcsl

code for "Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification"

fast-rcnn

Fast R-CNN

fast-reid

SOTA Re-identification Methods and Toolbox

fastdeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for Cloud and Edge. Including Vision, Text, Audio and Video 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization and multi-platform multi-framework support.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

imageprocessing

Image processing using tensorflow

jieba

结巴中文分词

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learnpaddle2

PaddlePaddle Fluid 版本系列教程，CSDN博客专栏：

lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenetv3-caffe

From pytorch-mobilenetv3 to caffe

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nlp_torchtext

part_reid

Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification

py-faster-rcnn-windows

py-faster-rcnn that can compile on windows directly

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

pytorch-yolov4