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计算机速成课 (全40集 2018年5月1号完成) B 站播放量 442 万
Lectures for INFO8010 Deep Learning, ULiège
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
StanfordRockPhysics / MalenoV
Forked from bolgebrygg/MalenoVComplete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)
Automatic fault interpretation with optimal surface voting
Models and examples built with TensorFlow
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Tr…
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Coding the Machine Learning Tutorial for Learning to Learn
Deep Learning Book Chinese Translation
Resources for Python Crash Course, from No Starch Press.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
xiaofengShi / MachineLearning
Forked from apachecn/ailearningMachine Learning in Action(机器学习实战-笔记)
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
📡 Simple and ready-to-use tutorials for TensorFlow
Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
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
手写实现李航《统计学习方法》书中全部算法