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awesome-mlops

A curated list of references for MLOps

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bda_course_aalto

Bayesian Data Analysis course at Aalto

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

cellpose

a generalist algorithm for cellular segmentation

confnets

coral-ordinal

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

cytominer

Methods for Image-Based Cell Profiling

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepcell-tf

Deep Learning Library for Single Cell Analysis

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeptree

Jupyter notebooks for deep lineage analysis of single-cell heterogeneity and cell cycling duration heritability.

doing-bayesian-data-analysis-in-brms-and-the-tidyverse

The bookdown version lives here: https://bookdown.org/content/3686

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

examples

TensorFlow examples

flax

Flax is a neural network library for JAX that is designed for flexibility.

g-simclr

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

google-research

Google Research

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jupyter-tutorial

Training materials for setting up and using a research infrastructure based on Jupyter notebooks: https://cusy.io/en/seminars

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

models

Models built with TensorFlow

multistar

oad

Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools.

opsef-iv

paquo

PAthological QUpath Obsession - QuPath and Python conversations