Name: Minal S Patil
Type: User
Company: Umeå universitet
Bio: Explainable AI, Counterfactual Theory and Causal Inference, Neural-Symbolic Learning, Machine Reasoning, (Lifelong) Reinforcement Learning
Location: Umeå, Sweden
Blog: https://minalspatil.github.io/
Minal S Patil 's Projects
Trading with recurrent actor-critic reinforcement learning
Jekyll theme with a focus on simplicity, typography and flexibility
💡 A curated list of adversarial attacks on model explanations
:alarm_clock: AI conference deadline countdowns
List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
Interpretability and explainability of data and machine learning models
An open-source NLP research library, built on PyTorch.
android project
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A collection of research materials on explainable AI/ML
Long list of geospatial tools and resources
Awesome Incremental Learning
A curated list of awesome machine learning interpretability resources.
A curated list of references for MLOps
List of summer schools in machine learning + related fields across the globe
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Quant/Algorithm trading resources with an emphasis on Machine Learning
Reinforcement learning resources curated
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
List of satellite imagery datasets with annotations for computer vision and deep learning
:metal: awesome-semantic-segmentation
TensorFlow - A curated list of dedicated resources http://tensorflow.org
A Python implementation of global optimization with gaussian processes.
Starter kit for the black box optimization challenge at Neurips 2020
WASP-like template for making presentations with GNU Beamer
LaTeX Template for Mike Morrison's #betterposter
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent