minalspatil

ai-deadlines

:alarm_clock: AI conference deadline countdowns

AIML-WASP

allennlp

An open-source NLP research library, built on PyTorch.

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

awesome-cto

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

Awesome-explainable-AI

A collection of research materials on explainable AI/ML

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

explanation-ontology

Explanation Ontology Resource website

fairness-in-ml

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

gsoc2021

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

minalspatil

Config files for my GitHub profile.

minalspatil.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

NeurASP

opennars

OpenNARS for Research 3.0+

PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pyss3

A Python package implementing a new model for text classification with visualization tools for Explainable AI :octocat:

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

RL-book

streamlit

Streamlit — The fastest way to build data apps in Python

test

git tutorial

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tikzplotlib

Convert matplotlib figures to TikZ/PGFplots for smooth integration into LaTeX.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

wasp_SE_course

Resources and student assignments for the WASP Software Engineering course