Pinned Repositories
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
ptcn
Probabilistic Temporal Convolutional Network
sentipy
Python implementations of Sentinel 2 Toolbox L2 products & spectral indices
UpstatePedro's Repositories
UpstatePedro/controllabledl
UpstatePedro/ConvNeXt
Code release for ConvNeXt model
UpstatePedro/corpora
Summarise text in a collection of docs by finding the most common words
UpstatePedro/sentipy
Python implementations of Sentinel 2 Toolbox L2 products & spectral indices
UpstatePedro/databricks-zero-to-mlops
UpstatePedro/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.
UpstatePedro/DENETHOR
UpstatePedro/dlaicourse
Notebooks for learning deep learning
UpstatePedro/Domain-Aware-Style-Transfer
Official Implementation of Domain-Aware Universal Style Transfer
UpstatePedro/DUE
Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
UpstatePedro/fastbook
The fastai book, published as Jupyter Notebooks
UpstatePedro/field-delineation
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
UpstatePedro/idea-bank
thought gutter for a wandering mind
UpstatePedro/minitorch
The full torch API in python (from https://github.com/minitorch/minitorch)
UpstatePedro/mlops-on-gcp
UpstatePedro/nbdev-poc
Taking NBDev for a joyride
UpstatePedro/nde_playground
Exploration of Neural ODE, CDE, SDE architectures.
UpstatePedro/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
UpstatePedro/NeuralCDEcrops
UpstatePedro/neuralRDEs
Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
UpstatePedro/presto
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
UpstatePedro/PyAEZ
PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.
UpstatePedro/PySparkPlayground
Taking the PySpark programming model for a walk...
UpstatePedro/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
UpstatePedro/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
UpstatePedro/s1-s2-ard
Creates analysis read data (ARD) from sentinel data. Creates multi-modal and/or multi-temporal Sentinel-1 and Sentinel-2 ARD.
UpstatePedro/satellite-cloud-removal-dip
Satellite cloud removal with Deep Image Prior.
UpstatePedro/tpu
Reference models and tools for Cloud TPUs.
UpstatePedro/UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
UpstatePedro/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.