Muhammad Hatta's repositories
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
DEC-keras
Keras implementation for Deep Embedding Clustering (DEC)
dotfiles
Collection of my personal dotfiles
hattajr.github.io
https://hattajr.github.io/
memory-efficient-attention-pytorch
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
Orion
A machine learning library for detecting anomalies in signals.
stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
logfire
Uncomplicated Observability for Python and beyond! 🪵🔥
MadeWithML
Learn how to responsibly deliver value with ML.
magenta
Magenta: Music and Art Generation with Machine Intelligence
marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
ML-pdf-collection
ML references and study material
mlflow
Open source platform for the machine learning lifecycle
polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Projects
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
resume-flutter
We redesign the outlook app also make it responsive so that you can run it everywhere on your phone, tab, or web.
scikit-learn
scikit-learn: machine learning in Python
SyntacticSeachOnTimeSeries
Syntactic search tool to explore and retrieve information from time series
TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
TRAINSET_dataformating
Preparing data to match with TRAINSET labeling