Yousef Azizi's Projects
Built a chatbot which can assist customers in reserving a table.
Our entry for pyweek 37
An all-Python robot system based on web technologies. The purpose is similar to ROS, but it's easier to use for mobile robotics.
Machine learning in Rust.
Scenic: A Jax Library for Computer Vision Research and Beyond
Python job scheduling for humans.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Simple news summarization
Kinetic Monte Carlo simulator for polymerization reactions
A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.
Real time web based Speech-to-Text app with Streamlit
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Tensor/IO for iOS, with support for on-device inference and training with TensorFlow and TensorFlow Lite
Source code for Twitter's Recommendation Algorithm
Python Theano Machine Learning Examples
TicTacToe Python app for Android, powered by BeeWare suite - https://pybee.org
Repo for a ChatBot, with Gradio, Streaming TinyLlama1.1BOpenOrca.gguf on CPU only
TinyChatEngine: On-Device LLM Inference Library
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
A codebase implementing a simple GPT-like model from scratch based on the Attention is All You Need paper.
š Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. š«āļø
Easy Custom Losses for Tree Boosters using Pytorch
Understanding Deep Learning - Simon J.D. Prince
Resources for meetup about web scraping and NLP.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood
This project implements a method that converts a trained XGBoost classification tree into a single decision tree.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent