upstatepedro Goto Github PK

coms30007

controllabledl

convcnp

Implementation of the Convolutional Conditional Neural Process

convnext

Code release for ConvNeXt model

cookiecutter-semantic-segmentation

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

corpora

Summarise text in a collection of docs by finding the most common words

crop_yield_prediction

Crop Yield Prediction with Deep Learning

dask-gke

kubernetes setup to bootstrap distributed on google container engine

databricks-zero-to-mlops

dataset

Crop/Weed Field Image Dataset

datavis_proj

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

delineation-tool

Boundary delineation tool developed for its4land

denethor

dlaicourse

Notebooks for learning deep learning

docker-snap-jpn-theia

Docker image with Jupyter and Theia IDE providing a playground for SNAP, snappy and snapista

domain-aware-style-transfer

Official Implementation of Domain-Aware Universal Style Transfer

due

Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

eo-learn-workshop

Bridging Earth Observation data and Machine Learning in Python

esig_documentation

Documentation for the esig project, written as part of my internship at the Alan Turing Institute.

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

fastbook

The fastai book, published as Jupyter Notebooks

field-delineation

Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gpflow

Gaussian processes in TensorFlow

idea-bank

thought gutter for a wandering mind

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.