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The University of Texas at Austin
- Austin, TX
- http://www.teymourian.de
- https://www.cs.utexas.edu/people/faculty-researchers/kia-teymourian
- in/kia-teymourian-80717b15
Highlights
- Pro
Stars
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
The simplest, fastest repository for training/finetuning medium-sized GPTs.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The fundamental package for scientific computing with Python.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A MNIST-like fashion product database. Benchmark 👇
A collection of machine learning examples and tutorials.
A resource for learning about Machine learning & Deep Learning
Insular email distribution - mail server as Docker images
news-please - an integrated web crawler and information extractor for news that just works
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
🐍 Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
The book "Annotated Algorithms in Python" and the nlib.py library
Asynchronous parallel SSH client library.
Simple JupyterHub distribution for 1-100 users on a single server
A simple Python wrapper for the Amazon.com Product Advertising API ⛺
Implementation of papers for text classification task on DBpedia
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Implementing machine learning algorithms from scratch.
A collection of my data visualizations, mostly in Python.
A Python script for incremental backups of IMAP mailboxes
A simple plagiarism detection tool for python code