rzou15 Goto Github PK

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

airbnb-new-user-booking

assignments

book

:green_book:我的个人书籍学习和收藏

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs595-01

Interactive and Transparent Machine Learning

data-mining

CS 422

dataset

The Open Images dataset

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepjazz

Deep learning driven jazz generation using Keras & Theano!

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

hello-world

jazzml

A (very incomplete) project that combines machine learning with music.

leetcode

Coding training

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

llama

Inference code for LLaMA models

main

CS579: Online Social Network Analysis at the Illinois Institute of Technology

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

models

Models and examples built with TensorFlow

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

njumath

Course slides & Examination review

object-detection-in-point-cloud-road-boundary

Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.

probe-data-analysis

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

satellite-image-retrieval

CS 513 project3