Pinned Repositories
BayesianAnalysis
A collection of notebooks, learning from tutorials ad lectures across the net
dotfiles
minitorch
The full minitorch student suite.
minitorch-learn
mlserve
Serving machine learning (pytorch) models using torchserve / AWS Sagemaker
statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
svats2k.github.io
svats2k's Repositories
svats2k/minitorch
The full minitorch student suite.
svats2k/minitorch-learn
svats2k/BayesianAnalysis
A collection of notebooks, learning from tutorials ad lectures across the net
svats2k/awesome-mlops
A curated list of references for MLOps
svats2k/boilerplate
🍪 ML application template to create API services around your ML code.
svats2k/concurrent_inference
An example of how to use the multiprocessing package along with PyTorch.
svats2k/creating-and-correcting-novel-ml-model-errors
svats2k/dask-scaling-dataframe
Python and Dask: Scaling the Dataframe
svats2k/dockerfiles
Collection of docker files across different projects
svats2k/dotfiles-1
Dotfiles, managed with https://github.com/twpayne/chezmoi.
svats2k/EAST-Detector-for-text-detection-using-OpenCV
Text Detection from images using OpenCV
svats2k/fastbook
The fastai book, published as Jupyter Notebooks
svats2k/fsteps
svats2k/hecate
Automagically generate thumbnails, animated GIFs, and summaries from videos
svats2k/img2vec
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image
svats2k/learn-jax
svats2k/MadeWithML
Learn how to responsibly deliver value with ML.
svats2k/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
svats2k/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
svats2k/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
svats2k/prince-computer-vision
work-through of Computer Vision: Models, Learning, and Inference by Simon J.D. Prince
svats2k/probabilisticprogrammingprimer
svats2k/PyRegex
svats2k/python-concurrency-getting-started
svats2k/ROS-Examples
Regression and other stories R examples
svats2k/SceneSeg
Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
svats2k/statrethinking2_notes
Stan model builds based on rethinking, brms and rstan based on the book by Dr. Richard Mclearth, Statistical Rethinking
svats2k/tensorly-notebooks
Tensor methods in Python with TensorLy
svats2k/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
svats2k/transformer-pytorch
Implementation of "Attention Is All You Need" using pytorch