anejad
A Data Scientist and Petroleum Engineer. Interested in variety of topics such as machine learning, statistical methods, time series analysis and big data.
Houston, Texas, USA
Pinned Repositories
-Getting-and-Cleaning-Data
Coursera Peer Reviewed Assignment
Convolutional-Neural-Network-Champions
repo for series of articles on medium regarding convolutional neural network evoloution
Exploring-Market-Seasonality-Trends
GAN-pytorch-implementations
Various implementations of GAN using Pytorch
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
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
QuantJam_Notebooks
Notebooks for QuantJam blog on Medium (link
universal-portfolios
Collection of algorithms for online portfolio selection
UpStream-Oil-and-Gas-Dashboard-with-D3.js
anejad's Repositories
anejad/Convolutional-Neural-Network-Champions
repo for series of articles on medium regarding convolutional neural network evoloution
anejad/GAN-pytorch-implementations
Various implementations of GAN using Pytorch
anejad/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
anejad/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
anejad/universal-portfolios
Collection of algorithms for online portfolio selection
anejad/Algorithms
A collection of algorithms and data structures
anejad/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
anejad/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
anejad/characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
anejad/cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
anejad/DALEX
moDel Agnostic Language for Exploration and eXplanation
anejad/dive-into-deep-learning-pytorch-notes
anejad/ib-scripts
Python scripts that use the Interactive Brokers TWS API
anejad/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
anejad/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.
anejad/LLM101n
LLM101n: Let's build a Storyteller
anejad/ml-engineering
Machine Learning Engineering Open Book
anejad/MLOps-Basics
anejad/Natural-Language-Processing-Specialization
My codes and notes on Natural Language Processing Specialization class from coursera
anejad/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
anejad/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
anejad/Pyrtorch-Tutorial-Zero-to-GANS
Free coding camp tutorial: https://www.youtube.com/watch?v=GIsg-ZUy0MY&ab_channel=freeCodeCamp.org
anejad/pysystemtrade
Systematic Trading in python
anejad/Python-Algorithmic-Trading-Cookbook
Python Algorithmic Trading Cookbook, published by Packt
anejad/python-cheat-sheets
anejad/Python4Finance
I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.
anejad/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
anejad/quantstats
Portfolio analytics for quants, written in Python
anejad/stocks-analysis
Stocks analysis using python packages
anejad/vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.