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algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-algorithm icon awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-object-detection icon awesome-object-detection

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

bazel icon bazel

a fast, scalable, multi-language and extensible build system

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe_toolkit icon caffe_toolkit

Caffe toolkit, including installing Caffe, creating various networks.

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

csp icon csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detnet-59 icon detnet-59

DetNet: A Backbone network for Object Detection论文DetNet-59网络结构实现 基于caffe

fold icon fold

Deep learning with dynamic computation graphs in TensorFlow

gpt4free icon gpt4free

decentralising the Ai Industry, just some language model api's...

gpt4free-ts icon gpt4free-ts

Providing a free OpenAI GPT-4 API ! This is a replication project for the typescript version of xtekky/gpt4free

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imagenet icon imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

linux-command icon linux-command

Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

matrixnet icon matrixnet

PyTorch implementation for MatrixNet object detection architecture.

ml-learning icon ml-learning

Gitbook based Blog, Android, Linux, Deep Learning, Computer Vision

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