2021 |
Course |
NLP |
CS224n: Natural Language Processing with Deep Learning |
Stanford |
Chris Manning, John Hewitt Head TA |
BiliBili (2019) |
|
2021 |
Course |
GNN |
CS224W: Machine Learning with Graphs |
Stanford |
- |
Bilibili (2019) |
|
2021 |
Course |
RL |
CS234: Reinforcement Learning |
Stanford |
Emma Brunskill |
BiliBili |
|
2020 |
Course |
ML |
CS229: Machine Learning |
Stanford |
Tengyu Ma, Andrew Ng (吴恩达), Chris Ré |
BiliBili (2018) |
Note |
2021 |
Course |
DL |
CS230: Deep Learning |
Stanford |
Andrew Ng (吴恩达), Kian Katanforoosh |
BiliBili (2018) |
|
2020 |
Course |
CV |
CS231n: Convolutional Neural Networks for Visual Recognition |
Stanford |
Fei-Fei Li (李飞飞) |
Bilibili (2019) |
|
2019 |
Course |
GAN |
CS236: Deep Generative Models |
Stanford |
Stefano Ermon, Aditya Grover |
Bilibili (2019) |
|
2020 |
Course |
DM |
CS246: Mining Massive Data Sets |
Stanford |
Jure Leskovec |
Bilibili |
|
2020 |
Course |
RL |
CS332: Advanced Survey of Reinforcement Learning |
Stanford |
Emma Brunskill |
- |
|
2020 |
Course |
KG |
CS520: Knowledge Graphs |
Stanford |
Vinay K. Chaudhri, Naren Chittar, Michael Genesereth |
BiliBili |
|
2021 |
Course |
Math |
EE364a: Convex Optimization I |
Stanford |
John Duchi |
- |
|
2021 |
Course |
DL |
CS 11-785: Introduction to Deep Learning |
CMU |
Graham Neubig |
BiliBili |
|
2019 |
Course |
NLP |
CS 11-747: Neural Networks for NLP |
CMU |
- |
BiliBili |
|
2021 |
Course |
AI |
CS 188: Introduction to Artificial Intelligence |
UC Berkeley |
- |
BiliBili |
|
2020 |
Course |
DL |
CS 198-96: Introduction to Neurotechnology |
UC Berkeley |
Deven Navani |
BiliBili |
|
2020 |
Course |
DRL |
CS 285: Deep Reinforcement Learning |
UC Berkeley |
Sergey Levine |
BiliBili |
|
2021 |
Course |
DL |
MIT 6. S191: Introduction to Deep Learning |
MIT |
Alexander Amini, Ava Soleimany |
BiliBili |
|
2020 |
Course |
AI |
CS50: Introduction to Artificial Intelligence with Python |
Harvard |
David J. Malan |
BiliBili |
|
2020 |
Course |
DL |
Introduction to Deep Learning |
TUM |
Matthias Nießner |
BiliBili |
|
2020 |
Course |
GNN |
ESE 680: Graph Neural Networks |
UPenn |
Alejandro Ribeiro |
BiliBili |
|
2015 |
Course |
RL |
Reinforcement Learning |
UCL |
David Silver |
BiliBili |
Youtube |
2020 |
Course |
DL |
Deep Learning (Pytorch) |
NYU |
Yann Lecun, Alfredo Canziani |
BiliBili |
|
2020 |
Course |
AI |
Course Series Including AI, BD, IR et al. |
ETH Zürich |
- |
BiliBili |
|
2020 |
Course |
GAN |
Generative Adversarial Networks (GANs) Specialization |
DeepLearning. AI |
Andrew Ng (吴恩达) |
Bilibili |
Code |
2019 |
Course |
AI |
AI For Everyone |
DeepLearning. AI |
Andrew Ng (吴恩达) |
bilibili |
|
2020 |
Course |
CO |
CSC2547: Learning to Search |
UofT |
- |
- |
|
|
|
|
|
|
|
|
|
2021 |
Course |
ML |
大数据机器学习 |
THU |
袁春 |
学堂在线 |
|
2020 |
Course |
TensorFlow |
人工智能实践:Tensorflow笔记 |
PKU |
曹健 |
MOOC |
|
2020 |
Course |
AI |
人工智能与信息社会 |
PKU |
陈斌 |
MOOC |
|
2020 |
Course |
AI |
人工智能原理 |
PKU |
王文敏 |
MOOC |
|
2020 |
Course |
AI |
人工智能:模型与算法 |
ZJU |
吴飞 |
MOOC |
|
2017 |
Course |
ML |
机器学习 |
ZJU |
胡浩基 |
BiliBili |
|
2021 |
Course |
NLP |
自然语言处理 |
SJTU |
赵海 |
学堂在线 |
|
2020 |
Course |
ML |
统计计算与机器学习 |
SJTU |
许志钦 |
BiliBili |
|
2018 |
Course |
ML |
机器学习导论 |
SJTU |
张志华 |
Bilibili |
|
2021 |
Course |
DM |
数据挖掘 |
TJU |
喻梅, 王建荣, 于健 |
学堂在线 |
|
2020 |
Course |
CV |
计算机视觉与深度学习 |
BUPT |
鲁鹏 |
Bilibili |
|
2020 |
Course |
CV |
计算机视觉基础 |
BUPT |
鲁鹏 |
Bilibili |
|
2021 |
Course |
ML |
Machine Learning (机器学习) |
NTU |
李宏毅 |
BiliBili |
Note |
2020 |
Course |
NLP |
Deep Learning for Human Language Processing (深度学习人类语言处理) |
NTU |
李宏毅 |
BiliBili |
|
2020 |
Course |
Math |
Linear Algebra (线性代数) |
NTU |
李宏毅 |
Bilibili |
|
2020 |
Course |
DL |
Applied Deep Learning (应用机器学习) |
NTU |
陈蕴侬 |
BiliBili |
|
2020 |
Course |
RL |
Reinforcement Learning (强化学习) |
SIT |
Shusen Wang |
BiliBili |
|
|
|
|
|
|
|
|
|
2020 |
Tutorial |
ML |
机器学习: 从0到1学Tensorflow |
Google |
Laurence Moroney |
BiliBili |
|
2019 |
Tutorial |
TensorFlow |
Coding TensorFlow |
Google |
- |
BiliBili |
|
2020 |
Tutorial |
GNN |
PGL: 图神经网络7日打卡营 |
Baidu |
- |
Bilibili |
Slide |
|
|
|
|
|
|
|
|
2020 |
Tutorial |
ML |
有趣的机器学习 |
Individual |
莫烦Python |
BiliBili |
|
2021 |
Course |
ML |
机器学习-白板推导系列 |
Individual |
Shuhuai |
BiliBili |
Note |
2019 |
Course |
ML |
菜菜的机器学习sklearn |
Individual |
菜菜TsaiTsai |
BiliBili |
Code |
2020 |
Course |
CI |
Introduction to Causal Inference |
Individual |
Brady Neal |
BiliBili |
|
2020 |
Tutorial |
TensorFlow |
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial |
freeCodeCamp |
Tim Ruscica |
BiliBili |
|
|
|
|
|
|
|
|
|
2019 |
Lecture |
GNN |
图形图像学科前沿研习班:图神经网络专题 |
中国图象图形学学会 |
唐杰, 崔鹏, 石川, 严骏驰 |
Bilibili |
Silde (密码: w6vg) |
2020 |
Workshop |
GNN |
图表示学习和图神经网络的最新理论进展和应用 |
BAAI (智源研究院) |
宋国杰, 沈华伟, 唐杰, 石川 |
Bilibili |
|
2021 |
Conference Tutorial |
DML |
AAAI 2021 Tutorial: Simplifying and Automating Parallel Machine Learning via a Programmable and Composable Parallel ML System |
AAAI |
- |
Bilibili |
|
2021 |
Conference Tutorial |
ML |
AAAI 2021 Tutorial: Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities |
AAAI |
- |
Bilibili |
|
2021 |
Conference Tutorial |
GNN |
AAAI 2021 Tutorial: Graph Neural Networks: Models and Applications |
AAAI |
- |
Bilibili |
|
2021 |
Conference Tutorial |
CO |
AAAI 2021 Tutorial: ML & CO |
AAAI |
- |
- |
|
2021 |
Conference Tutorial |
Meta Learning |
AAAI 2021 Tutorial: Meta Learning |
AAAI |
- |
Bilibili |
|
2020 |
Conference Tutorial |
RS |
KDD 2020 Tutorial: Building Recommender Systems with PyTorch |
Facebook |
- |
BiliBili |
|
2020 |
Conference Tutorial |
CI |
KDD 2020 Tutorial: Causal Inference Meets Machine Learning |
KDD |
- |
- |
|
2020 |
Conference Tutorial |
GNN |
KDD 2020 Tutorial: Recent Advances on Graph Analytics and Its Applications in Healthcare |
KDD |
- |
- |
|
2020 |
Conference Tutorial |
GNN |
KDD 2020 Tutorial: Advanced Deep Graph Learning: Deeper, Faster, Robuster, and Unsupervised |
KDD |
- |
- |
|
2020 |
Conference Tutorial |
GNN |
KDD 2020 Tutorial: Multi-modal Network Representation Learning: Methods and Applications |
KDD |
- |
- |
|
2020 |
Conference Tutorial |
AD |
KDD 2020 Tutorial: Deep Learning for Anomaly Detection |
KDD |
- |
- |
|
2020 |
Conference Tutorial |
NLP |
EMNLP 2020 Tutorial: Interpreting Predictions of NLP Models |
EMNLP |
Eric Wallace, Matt Gardner, Sameer Singh |
BiliBili |
|
2020 |
Conference Tutorial |
RL |
ICML 2020 Tutorial: Model-Based Methods in Reinforcement Learning |
ICML |
Igor Mordatch and Jessica Hamrick |
BiliBili |
|