Muhammad Hatta's Projects
Anomaly detection related books, papers, videos, and toolboxes
An experimental open-source attempt to make GPT-4 fully autonomous.
♾️ CML - Continuous Machine Learning | CI/CD for ML
Keras implementation for Deep Embedding Clustering (DEC)
Collection of my personal dotfiles
https://hattajr.github.io/
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.
Uncomplicated Observability for Python and beyond! 🪵🔥
Learn how to responsibly deliver value with ML.
Magenta: Music and Art Generation with Machine Intelligence
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
ML references and study material
Open source platform for the machine learning lifecycle
A machine learning library for detecting anomalies in signals.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
We redesign the outlook app also make it responsive so that you can run it everywhere on your phone, tab, or web.
scikit-learn: machine learning in Python
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Syntactic search tool to explore and retrieve information from time series
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Preparing data to match with TRAINSET labeling
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent