📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Leetcode、剑指Offer——名企面试官精讲典型编程题

Leet Code 刷题笔记 - - 不求最快最省，但求最短最优雅，Shorter is better here.

讲解常见的机器学习算法

Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

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

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Compare the pedestrain detection using Faster RCNN and RPN+BF

Piotr's Image & Video Matlab Toolbox

All Algorithms implemented in Python

YOLO v3 物体检测算法

FastER RCNN built on tensorflow

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

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

A simplified implemention of Faster R-CNN that replicate performance from origin paper

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Convolutional Neural Networks

Pedestrian Detection using Caltech and INRIA dataset with Darknet Framework.

A Keras implementation of YOLOv3 (Tensorflow backend)

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

谷歌自然语言处理模型BERT：论文解析与python代码

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Google AI 2018 BERT pytorch implementation

TensorFlow code and pre-trained models for BERT

An open autonomous driving platform

面试题

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

problem-solving-with-algorithms-and-data-structure-using-python 中文版