Minal S Patil (minalspatil)

minalspatil

Geek Repo

Company:Umeå universitet

Location:Umeå, Sweden

Home Page:https://minalspatil.github.io/

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Minal S Patil 's repositories

AI-Residency-List

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

Awesome-Geospatial

Long list of geospatial tools and resources

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awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

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betterposter-latex-template

LaTeX Template for Mike Morrison's #betterposter

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BlackBoxAuditing

Research code for auditing and exploring black box machine-learning models.

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bnspatial

An R package for the spatial implementation of Bayesian Network in R and more

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burlap

Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library

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dat-kandinsky-patterns

Test Data Sets for Kandinsky Patterns

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deeprl_network

multi-agent deep reinforcement learning for networked system control.

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fastai

The fastai deep learning library, plus lessons and tutorials

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graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

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LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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manim

Animation engine for explanatory math videos

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MintPy

Miami InSAR time-series software in Python

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neural-logic-machines

Implementation for the Neural Logic Machines (NLM).

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NLRL

Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)

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nonechucks

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

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perturb_explanations

Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

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phd

A list of resources on how/why to do a PhD

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phyre

PHYRE is a benchmark for physical reasoning.

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pix2pix

Image-to-image translation with conditional adversarial nets

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practicalAI

📚 A practical approach to machine learning.

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probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

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refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

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reinforcement-learning-stanford

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

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ResNetVAE

Variational AutoEncoder + ResNet Transfer Learning

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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SkyScapes

Skyscapes - Fine-Grained Semantic Understanding of Aerial Scenes

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StaMPS

Stanford Method for Persistent Scatterers

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xaience

All about explainable AI, algorithmic fairness and more

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