Farshid Balaneji's repositories
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
blueprints-text
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
certified-kubernetes-administrator-course
Certified Kubernetes Administrator - CKA Course
farshidbalan.github.io
Some notes from Farshid Balaneji
h2ogpt
Come join the movement to make the world's best open source GPT led by H2O.ai
kedro
A Python framework for creating reproducible, maintainable and modular data science code.
keras
Deep Learning for humans
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
manim
Animation engine for explanatory math videos
mercury
Mercury: easily convert Python notebook to web app and share with others
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
resources
PyMC3 educational resources
sentence-transformers
Sentence Embeddings with BERT & XLNet
startbootstrap-clean-blog-jekyll
A Jekyll version of the Clean Blog theme by Start Bootstrap
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
zipline
Zipline, a Pythonic Algorithmic Trading Library