jr209152 Goto Github PK

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《人工智能实践》课程第五组

-visual-c-matlab-

数字图像处理与机器视觉——Visual C++与Matlab实现 源码

14_image_style_swap

北京大学软件与微电子学院《人工智能实践》课程项目第14小组，项目代码持续完善中...

20_style-model-for-image-style-fusion-and-transfer

北京大学软件与微电子学院《人工智能实践》课程项目第6小组，新加入APP功能，项目代码持续完善中。

ai-final-project

ai-practice-tensorflow-notes

人工智能实践：Tensorflow笔记

algo

algorithms implementation with C++/Python/JavaScript

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

blueskyflightcontrol

天穹飞控：致力于打造**最强大的多旋翼开源飞控！

c

All Algorithms implemented in C

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

cs-notes

:books: 技术面试必备基础知识

cs131_notes

Class notes for CS 131.

dlinterview

Deep Learning Interview 深度学习面试题目汇总

douyin-bot

😍 Python 抖音机器人，论如何在抖音上找到漂亮小姐姐？

face-recognizer-gui

Face Recognition Using OpenCV and Qt

hands-on-machine-learning

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

ihy

wavelets audio codec

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ismartdnn

Light-weighted neural network inference for object detection on small-scale FPGA board

kalman-and-bayesian-filters-in-python

《学习卡尔曼与贝叶斯滤波器——基于Python实践》 这是一本循序渐进、内容详实、实例丰富的互动式卡尔曼教程，极其适合基础浅薄的初学者！ 仍在翻译中......

kcfpy

Python implementation of KCF tracking algorithm

lkimagekit

A high-performance image framework, including a series of capabilities such as image views, image downloader, memory caches, disk caches, image decoders and image processors.

lstm-pynq

machinelearn

机器学习的算法(python)

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

matlab_speech_features

A set of speech feature extraction functions for ASR and speaker identification written in matlab.

misc

miscellaneous code written for specific purposes; can be used/modified for other tasks

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multi-resolution-texture-synthesis

Based on “Fast Texture Synthesis using Tree-structured Vector Quantization” and “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images” papers