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bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

binary_net

experimental binary net implementation in chainer

branchynet_chainer

基于提前退出部分样本原理而实现的带分支网络（supported by chainer）

cbam-keras

CBAM implementation on Keras

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep_learning_prediction_intervals

ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

deeplabv3_mobilenetv2_pytorch

A PyTorch Implementation of MobileNetv2+DeepLabv3

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

enbpi

Code for ICML 2021 Oral Paper: Conformal Prediction Interval for Dynamic Time-Series.

espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn

Faster R-CNN

fate

An Industrial Grade Federated Learning Framework

federated

A framework for implementing federated learning

machine_learning_model

机器学习基本模型算法介绍(附加案例)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

monte-carlo-simulation-for-generating-stock-price-prediction-intervals

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

permute-quantize-finetune

Using ideas from product quantization for state-of-the-art neural network compression.

piven

Prediction Intervals with specific value prediction

piven-1

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

plotneuralnet

Latex code for making neural networks diagrams

prediction-interval-nn

Confidence and prediction intervals for feedforward NNs and RNNs

pytorch-networks

Pytorch implementation of cnn network

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

quantized-cnn

An efficient framework for convolutional neural networks

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

senet

Squeeze-and-Excitation Networks