anejad Goto Github PK

-getting-and-cleaning-data

Coursera Peer Reviewed Assignment

algorithms

A collection of algorithms and data structures

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

convolutional-neural-network-champions

repo for series of articles on medium regarding convolutional neural network evoloution

course-nlp

A Code-First Introduction to NLP course

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

dalex

moDel Agnostic Language for Exploration and eXplanation

data-science-example-notebooks

In the series of Python notebooks I am going to practice solving questions with common data science and machine learning techniques and I am going to share the notebooks here.

datasciencecoursera

datasharing

The Leek group guide to data sharing

desom

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

dive-into-deep-learning-pytorch-notes

exploring-market-seasonality-trends

gan-pytorch-implementations

Various implementations of GAN using Pytorch

ib-scripts

Python scripts that use the Interactive Brokers TWS API

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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.

machine-learning-for-algorithmic-trading-second-edition

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

machine_learning_examples

A collection of machine learning examples and tutorials.

mapping-houston-real-estate-data-using-python-and-basemap-zillow-data-

Mapping Houston Real Estate Price Data with Python and Basemap

medium_notebook

Repository containing notebooks of my posts on Medium

ml-engineering

Machine Learning Engineering Open Book

mlops-basics

natural-language-processing-specialization

My codes and notes on Natural Language Processing Specialization class from coursera

neural-networks-and-deep-learning

nlp-recipes

Natural Language Processing Best Practices & Examples

nltk

NLTK Source