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facechain

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

facial-structure-editing-of-portrait-images-via-latent-space-classifications

Coarse-to-Fine: Facial Structure Editing of Portrait Images via Latent Space Classifications

faldetector

Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop

fastjson

:bullettrain_side: A fast JSON parser/generator for Java

fcn.berkeleyvision.org

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

feathercnn

FeatherCNN is a high performance inference engine for convolutional neural networks.

fitnets

FitNets: Hints for Thin Deep Nets

flowbasedbodyreshaping

Official repository of the paper 'Structure-Aware Flow Generation for Human Body Reshaping' in CVPR 2022

gbdt

A simple GBDT in Python

generators-with-stylegan2

Here is a series of face generators based on StyleGAN2

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

hwenjun18.github.io

Personal Homepage

imagenet18

Code to reproduce "imagenet in 18 minutes" experiments

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

incubator-weex

Mirror of Apache Weex

kdgan

keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

keras-retinanet

Keras implementation of RetinaNet object detection.

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

libra_r-cnn

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

light_head_rcnn

Light-Head R-CNN

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lipstick

口红颜色可视化 - 为什么你的女神总缺一支口红

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mixture-of-experts

Mixture of experts layers for Keras

ml_with_tf

machine learning algorithm with tensorflow

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mnasnet-caffe

A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

mnasnet-pretrained-model

A mxnet Implementation of Mnasnet with Pretrained Model

mobilenet-caffe

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