Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
This repository contains small projects related to Neural Networks and Deep Learning in general. ...
NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algor...
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kai...
For extensive instructor led learning
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch ten...
This is Andrew NG Coursera Handwritten Notes.
Implementation of key concepts of neuralnetwork via numpy
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
YouML: A Machine Learning Toolkit
Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。