Jravis

abundance_matching

code to do galaxy abundance matching

ads_bibdesk

(Unmaintained) Mac OS X service for frictionless import of NASA ADS and arXiv publications into BibDesk.

Alfa-Alfa-HI-Massfucntion-and-clustering

astrolibpy

Automatically exported from code.google.com/p/astrolibpy

aum

aum

awesome-astronomy

A list of awesome astronomy projects

awesome-bayesian-statistics

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

awesome-jax

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

TimeSeriesAnalysisWithPython

Jravis/awesome-bayesian-statistics

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

Jravis/awesome-jax

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

Jravis/Bayes_InfoTheory

Lectures on Bayesian statistics and information theory

Jravis/Coursera_Git

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

Jravis/dailycodingproblem-go

problems from dailycodingproblem.com solved in Go

Jravis/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.

Jravis/fastbook

The fastai book, published as Jupyter Notebooks

Jravis/financial-machine-learning

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

Jravis/Fitting_velocity_moments_T07

Jravis/GalSim

The modular galaxy image simulation toolkit. Documentation:

Jravis/it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

Jravis/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.

Jravis/knowledge

Miscellaneous docs

Jravis/MIDAS

Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

Jravis/MLI_workspace

Jravis/mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

Jravis/MP-Gadget

massively-parallel cosmology simulator

Jravis/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.

Jravis/project-based-learning

Curated list of project-based tutorials

Jravis/py-sphviewer

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

Jravis/pyprobml

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

Jravis/QFinanceInPython

Jravis/Quant-Finance-Resources

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

Jravis/Quijote-simulations

Large suite of N-body simulations

Jravis/Research

Open sourced research notebooks by the QuantConnect team.

Jravis/research_public

Quantitative research and educational materials

Jravis/rust-learning

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

Jravis/shap

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

Jravis/taotie

饕餮：A curated collection of resources for astrophysical research

Jravis/TGSS_Angcor