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2018-graduate-mathematical-modeling-contest-e

这个仓库主要是前段时间参加2018研究生数学建模大赛的经验与心得，只是第一位和第二问，第三问做的太烂，所以只放我们团队第一问的方案和源码，在此抛砖引玉，欢迎大家批评指正。

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

caffe

Caffe: a fast open framework for deep learning.

copy-paste-augmentation_rotate

实现了基于YOLOv5旋转标签格式的Copy-paste小目标数据增强，数据集为DOTA。

d2l-zh

《动手学深度学习》

deep-learning-for-image-processing

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

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearningexamples

Deep Learning Examples

deformable-convnets

Deformable Convolutional Networks

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dmp

This ROS package is a general, robot-agnostic implementation of dynamic movement primitives (DMPs).

dsod

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

dssd

Pytorch implementation of DSSD (Deconvolutional Single Shot Detector)

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

ecg-ml-dl-algorithm-python

Basic Algorithm For Beginners （Python version）

eq-ncnn

faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

faster-rcnn_tf

Faster-RCNN in Tensorflow

fcn.berkeleyvision.org

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

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

freeanchor

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

gaft

A Genetic Algorithm Framework in Python

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hu_program

This is my own world