hugobowne / deep-learning-from-scratch-pytorchLinks
Deep Learning from Scratch with PyTorch
☆118Updated 5 years ago
Alternatives and similar repositories for deep-learning-from-scratch-pytorch
Users that are interested in deep-learning-from-scratch-pytorch are comparing it to the libraries listed below
Sorting:
- Dask tutorial material for video tutorial series☆87Updated last year
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆115Updated 2 years ago
- Using computational thinking to get deep insights on the foundations of linear algebra☆114Updated 3 months ago
- Learn Python through Data Processing in Pandas Tutorial☆38Updated 5 years ago
- Numpy-Tutorial-SciPyConf-2020☆29Updated 3 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆159Updated 5 years ago
- ☆28Updated 5 years ago
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 4 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- Introduction to Python Tutorial at SciPy 2020☆23Updated 5 years ago
- Applied Machine Learning with Python☆80Updated last year
- ☆231Updated 3 years ago
- ☆152Updated 3 years ago
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…☆74Updated 7 months ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Scipy 2019 Tutorial☆35Updated 5 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆666Updated 3 years ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- Repository for a workshop on Bayesian Decision Analysis☆71Updated 2 years ago
- Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University☆109Updated 6 months ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆225Updated last year
- ☆15Updated 3 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Talks about vaex☆36Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Easy-to-run example notebooks for Dask☆379Updated last year