Arnab Kar (ArnabKar)

ArnabKar

Geek Repo

Company:Duke University

Location:Durham, NC, US.

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

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Arnab Kar's repositories

loss-landscape

Code for visualizing the loss landscape of neural nets

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

onnx2pytorch

Transform ONNX model to PyTorch representation

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awesome-neural-ode

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

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awesome_time_series_in_python

This curated list contains python packages for time series analysis

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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ds-test

Assertions, equality checks and other test helpers

License:GPL-3.0Stargazers:0Issues:0Issues:0

e-maxx-eng

Translation of http://e-maxx.ru into English

Language:C++License:CC-BY-SA-4.0Stargazers:0Issues:1Issues:0

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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flexx

Write desktop and web apps in pure Python

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foundry

Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.

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FrEIA

Framework for Easily Invertible Architectures

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geoplotlib

python toolbox for visualizing geographical data and making maps

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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haystack

:mag: End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the State-of-the-Art of NLP. Supports DPR, Elasticsearch, Hugging Face’s Hub, and much more!

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IB-INN

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)

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KalmanNet_TSP

code for KalmanNet

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keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

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LSGM

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

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matlab2python

Simple matlab2python converter

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mend

MEND: Fast Model Editing at Scale

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onnxconverter-common

Common utilities for ONNX converters

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Papers-1

Quant Research Papers

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POT

POT : Python Optimal Transport

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PyGauss

Companion package of the review paper entitled 'High-dimensional Gaussian sampling: A review and a unifying approach based on a stochastic proximal point algorithm' by Maxime Vono et al.

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SDV

Synthetic Data Generation for tabular, relational and time series data.

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siliconcompiler

SiliconCompiler is an open source compiler framework that automates translation from source code to silicon.

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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zuniswapv2

UniswapV2 clone made in educational purposes

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