csc-training / intro-to-dlLinks
Introduction to deep learning
☆55Updated 3 weeks ago
Alternatives and similar repositories for intro-to-dl
Users that are interested in intro-to-dl are comparing it to the libraries listed below
Sorting:
- Official TensorFlow 2.0 tutorial notebooks for the Deep Learning for Science School at LBNL☆43Updated 6 years ago
- Materials for a Python in HPC class☆33Updated 5 years ago
- Introduction to Python 3☆14Updated 7 years ago
- Training material on writing machine learning code with PyTorch by ICCS☆38Updated 2 months ago
- Scipy 2019 Tutorial☆36Updated 5 years ago
- Repository for participants of the "Python for HPC" training☆44Updated last week
- Matlab toolbox for dynamic linear models☆13Updated 4 years ago
- Scientific Computing with Python for beginners.☆54Updated 2 weeks ago
- PythonHPC☆115Updated 2 years ago
- Essential skills for reproducible research computing☆44Updated 5 years ago
- HPC Python lesson materials☆61Updated 2 years ago
- A straightforward Bayesian data fitting library☆27Updated last year
- "Intermediate Research Software Development Skills (Python)" Lesson Material☆61Updated last week
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- SDSC Summer Institute 2018 Teaching Material☆11Updated 3 years ago
- ☆100Updated last month
- Machine Learning for Scientists Tutorial☆35Updated 10 years ago
- CSCS HPC Summer School 2019☆25Updated 6 years ago
- ☆74Updated 2 months ago
- A tool to visualize high dimensionality sensitivity analysis data☆48Updated 4 years ago
- Scientific Machine Learning Tutorials☆40Updated 4 years ago
- a full day lesson material to teach the basics of using a HPC cluster to novices☆36Updated 6 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- Introduction to Conda for (Data) Scientists☆50Updated 2 years ago
- Content from the University of British Columbia's Master of Data Science course DSCI 572.☆41Updated 4 years ago
- SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding☆17Updated 5 months ago
- SDSC Summer Institute 2019 material☆18Updated 2 years ago
- ☆50Updated 3 years ago
- AI Training Series Material☆38Updated 2 months ago