Toronto |
Deep Learning (SCS 3546) |
08/2020 |
DeepMind |
Deep Learning Lectures 2020 |
09/2020 |
NYU |
Deep Learning (with PyTorch), DS-GA 1008 (SPRING 2020) |
09/2020 |
Stanford |
CS234: Reinforcement Learning - Winter 2019 |
11/2020 |
DeepMind |
Introduction to reinforcement learning |
12/2020 |
Berkeley |
CS285 Deep RL course - Fall 2019 |
02/2021 |
Waterloo |
CS885 Reinforcement Learning - Spring 2020 |
03/2021 |
DeepMind |
Reinforcement Learning |
03/2021 |
Berkeley |
Deep RL Bootcamp |
03/2021 |
Berkeley |
CS294-158-SP20 Deep Unsupervised Learning |
04/2021 |
Course |
Make VSCode Awesome |
04/2021 |
Durham |
Deep Learning 2021: Chris G. Willcocks |
04/2021 |
Durham |
Reinforcement Learning 2021: Chris G. Willcocks |
05/2021 |
Conference |
ICLR 21 Attendant |
05/2021 |
Stanford |
Stanford CS330: Multi-Task and Meta-Learning - 2019 |
06/2021 |
Conference |
ICML 21 Attendant |
07/2021 |
Stanford |
Stanford CS224N: NLP with Deep Learning - Winter 2019 |
07/2021 |
Stanford |
Stanford CS224W: Machine Learning with Graphs - Winter 2021 |
08/2021 |
Tutorial |
Pytorch Geometric tutorial |
09/2021 |
AMMI |
Geometric Deep Learning Course (2021) |
09/2021 |
www2020 |
Learning Graph Neural Networks with Deep Graph Library |
09/2021 |
UvA |
Deep Learning course |
09/2021 |
Stanford |
Graph Learning Workshop |
09/2021 |
Berkeley |
Deep Learning CS 182 - Spring 2021, Levine |
12/2021 |
Conference |
NeurIPS 21 Attendant |
12/2021 |
O’Reilly |
Natural Language Processing with Transformers |
02/2022 |
Conference |
ICLR 22 Attendant |
04/2022 |
Packt |
Deep Learning with PyTorch Lightning |
05/2022 |
Manning |
MLOps Engineering at Scale |
06/2022 |
Manning |
Inside Deep Learning Algorithms |
06/2022 |
Stanford |
CS25 I Stanford Seminar |
07/2022 |
Conference |
ICML 22 Attendant |
07/2022 |
Packt |
Machine Learning Engineering with Mlflow |
08/2022 |
Packt |
Practical Deep Learning at Scale with MLflow |
09/2022 |