Sandeep Rana PhD (Jravis)

Jravis

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Company:Versor Investment

Location:France

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Sandeep Rana PhD's repositories

awesome-bayesian-statistics

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

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awesome-jax

JAX - A curated list of resources https://github.com/google/jax

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Bayes_InfoTheory

Lectures on Bayesian statistics and information theory

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Coursera_Git

This is a repository I have created for Qwik lab session in Coursera course on GitHub

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dailycodingproblem-go

problems from dailycodingproblem.com solved in Go

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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fastbook

The fastai book, published as Jupyter Notebooks

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financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

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GalSim

The modular galaxy image simulation toolkit. Documentation:

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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knowledge

Miscellaneous docs

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MIDAS

Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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MP-Gadget

massively-parallel cosmology simulator

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OneEuroFilter

A simple Python implementation of the 1€ Filter (1e filter, 1 euro filter, One Euro Filter). The code can be used as pseudocode for implementing the algorithm in other languages.

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project-based-learning

Curated list of project-based tutorials

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py-sphviewer

Py-SPHViewer is a framework for rendering cosmological simulations in Python using the Smoothed Particle Hydrodynamics scheme.

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pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

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Quant-Finance-Resources

Courses, Articles and many more which can help beginners or professionals.

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Quijote-simulations

Large suite of N-body simulations

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Research

Open sourced research notebooks by the QuantConnect team.

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research_public

Quantitative research and educational materials

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rust-learning

A bunch of links to blog posts, articles, videos, etc for learning Rust

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shap

A game theoretic approach to explain the output of any machine learning model.

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taotie

饕餮:A curated collection of resources for astrophysical research

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