NumPy tutorial given at SciPy Japan 2019
☆44May 20, 2019Updated 7 years ago
Alternatives and similar repositories for scipy-japan-2019
Users that are interested in scipy-japan-2019 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Material for the Advanced Scientific Programming in Python course on data visualization☆17Sep 3, 2018Updated 8 years ago
- This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.☆76Apr 11, 2023Updated 3 years ago
- Presented at Scipy Conference 2019☆129Mar 22, 2020Updated 6 years ago
- Source code for the module "Advanced Statistics" 📊☆10Feb 25, 2019Updated 7 years ago
- Multithreaded version of numpy.einsum☆12May 20, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Nov 9, 2020Updated 5 years ago
- Scientific Python Programming Workshop, April 2016 Australia☆17Apr 26, 2016Updated 10 years ago
- Pandas tutorial for SciPy 2019☆103Oct 30, 2023Updated 2 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆17Apr 30, 2019Updated 7 years ago
- Introduction to Python Tutorial at SciPy 2019☆34Jul 8, 2019Updated 7 years ago
- Blog post "CMake + Google micro-benchmarking"☆10Dec 30, 2018Updated 7 years ago
- Study notes and demos.☆13Feb 14, 2024Updated 2 years ago
- ☆17Mar 28, 2023Updated 3 years ago
- presentation slides☆22Updated this week
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆18Jul 25, 2024Updated 2 years ago
- My own notes about data science☆10Jan 8, 2022Updated 4 years ago
- ☆13Dec 12, 2020Updated 5 years ago
- ☆24Apr 17, 2020Updated 6 years ago
- A three-hour tutorial on property-based testing with https://hypothesis.works☆59Mar 3, 2024Updated 2 years ago
- Tutorial Sessions for SciPy Con 2019☆277May 20, 2026Updated 3 months ago
- Sequential Monte Carlo sampler for PyMC2 models.☆14Apr 4, 2018Updated 8 years ago
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆30Oct 30, 2019Updated 6 years ago
- ☆25Dec 15, 2016Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Understanding nuts and bolts of neural networks with PyTorch☆33Feb 2, 2021Updated 5 years ago
- In this repository I'll be programming the cool exercises of the Book Reinforcement-Learning: An introduction by Sutton☆14Apr 15, 2018Updated 8 years ago
- ☆14Aug 18, 2023Updated 3 years ago
- A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering☆24Sep 6, 2019Updated 6 years ago
- ☆10Jul 8, 2020Updated 6 years ago
- NLP stuff with quantum computing☆17Nov 9, 2020Updated 5 years ago
- Prompt Engineering for Large Language Models - Notebooks, Demos, Exercises, and Projects☆24Sep 14, 2023Updated 2 years ago
- Lecture notes for Eric Anderson and Matthew Stephens SISG course on MCMC for Statistical Genetics☆30Jul 23, 2021Updated 5 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆32May 21, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Simple examples of data pipelines from xarray to ML training☆22Dec 19, 2019Updated 6 years ago
- This repository is the code implementing some classic algorithms in co-location pattern minning.☆13May 9, 2014Updated 12 years ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆236Feb 12, 2024Updated 2 years ago
- ☆10May 7, 2018Updated 8 years ago
- ☆13Nov 8, 2022Updated 3 years ago
- Hands-on examples showcasing popular NLP applications☆19Aug 23, 2019Updated 7 years ago
- Learning to Hash for Maximum Inner Product Search☆12Jan 21, 2022Updated 4 years ago