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face-resources

face_recognition

使用webface人脸数据集以及DeepID网络，通过Caffe训练出模型参数，得到LFW二分类的人脸识别准确率。

facerecognition

活体人脸识别，识别人脸，识别张嘴和摇头动作，并拍照

findfaceinvideo

This is a Deep Learning practice Demo which can find person in the video by human face.人脸识别的小demo，通过待识别的人脸图像在视频影像中找人。

fine-tuning

Fine-tuning an already learned model, adapts the architecture to other datasets

forum

蓝灯(Lantern)官方论坛

fusenet

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

gold-miner

掘金翻译计划，翻译掘金上优质的英文文章

gpu_flow

GPU based optical flow extraction in OpenCV

hand-gesture-recognition-using-cnn

Hand Gesture Recognition using Convolution Neural Networks

handdetection

historyobjectrecognition

hwgq

imagenet-multigpu.torch

an imagenet example in torch.

imagine-nn

IMAGINE torch neural network routines

insightface_pytorch

Pytorch0.4.1 codes for InsightFace

jetson_facetrack_pytorch

Comprehensive multifunctional AI project

learning_lstm

An implementation of a basic LSTM based on Adam Paszke's tutorial and StanfordNLP TreeLSTM

lecture_image_processing

画像処理工学

lisa-caffe-public

Lisa Anne's public caffe code.

lrcn.torch

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mtcnn-vgg-face

my-very-deep-caffe

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

new-c3d-caffe

This is a reimplementation of 3D CNN (http://vlg.cs.dartmouth.edu/c3d/). It is compatitable with Caffe 2016. The Caffe is forked from Caffe commit c1126aadb6eab5229203bfba9495bc2b06b4ae89.

new-pac

personas

poeai

Path of Exile Deep-Learning AI

pose-hg-demo

Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"