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arctic-captions

caffe-windows

Configure Caffe in one hour for Windows users.

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

deep_share

Reference implementation of "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification"

deepid-implementation

DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes"

deeplearningsystem

Deep Learning System core principles introduction.

dgd_person_reid

Domain Guided Dropout for Person Re-identification

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。

face_verification_experiment

Face verification experiment for lfw

faceverification

An Experimental Implementation of Face Verification, 96.8% on LFW.

gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

high-dimensional-lbp

My implementation of high dimensional LBP feature for face recognition

llama.cpp

Port of Facebook's LLaMA model in C/C++

mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

mnn-llm

llm deploy project based mnn.

mtcnn

Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.

partapp

2D Human Pose Estimation Software

pedestrian_alignment

Pedestrian Alignment Network for Large-scale Person Re-identification

person_search

Joint Detection and Identification Feature Learning for Person Search

pose-hg-train

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

sceneparsing

Development kit for MIT Scene Parsing Benchmark

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

vespa