507 Open source projects that are alternatives of or similar to Skimcaffe

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

MTCNN Face Detection & Alignment

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

Data Augmentation for Caffe

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

AI on Hadoop

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

Noise-Tolerant Paradigm for Training Face Recognition CNNs

Auto-ReID and Other Person Re-Identification Projects

Convert darknet weights to caffemodel

JavaScript Robotics and IoT programming framework, developed at Bocoup.

Cross-platform low-footprint realtime C/C++ Profiler

ID-discriminative Embedding (IDE) for Person Re-identification

Intel media sdk dispatcher

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Trojan Attack on Neural Network

Simple demonstration of separable convolutions

Deep Learning Benchmarking Suite

Deformable Convolutional Networks on caffe

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

A fuzzer for full VM kernel/driver targets

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

The NNEF Tools repository contains tools to generate and consume NNEF documents

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

A small and customizable full-scale 32-bit RISC-V soft-core CPU and SoC written in platform-independent VHDL.

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

train resnet on imagenet from scratch with caffe

Infrastructures™ for Machine Learning Training/Inference in Production.

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

php wrapper for opencv

Reference caffe implementation of LSUV initialization

SRIOV network device plugin for Kubernetes

A Computation Graph Virtual Machine Based Deep Learning Framework

Supervised Semantics-preserving Deep Hashing (TPAMI18)

MobileNet-v2 experimental network description for caffe

code for py-R-FCN-multiGPU maintained by bupt-priv

A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Interactive shell of assembly language(X86/X64) based on unicorn and keystone

《深度学习与计算机视觉》配套代码

PyTorch Model Compression

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

TensorRT Net Wrapper

Threat Feed Aggregation, Made Easy

Shadowplay's Replay Feature On Linux For Nvidia, AMD and Intel

Visualizer for neural network, deep learning, and machine learning models

Intel SPMD Program Compiler

A caffe implementation of mobilenet's depthwise convolution layer.

Domain Guided Dropout for Person Re-identification

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

A windows caffe implementation of YOLO detection network

MTCNN with Motion Detection, on Raspberry Pi with Love