alialhousseini's Stars
dmitrykazhdan/concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
eleonorapoeta/benchmarking-KAN
This repository contains the official implementation of "A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data" (under review). You can use this codebase to replicate our experiments about benchmarking KAN networks on some of the most used real-world tabular datasets.
ingig/code-narrator
Self documenting tool using OpenAI API. It also can document your project
yewsiang/ConceptBottleneck
Concept Bottleneck Models, ICML 2020
g8a9/ferret
A python package for benchmarking interpretability techniques on Transformers.
amaralibey/gsv-cities
GSV-Cities: a large-scale dataset for visual place recognition
amaralibey/MixVPR
MixVPR: Feature Mixing for Visual Place Recognition (WACV 2023)
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel
The full collection of all codes for my Youtube Channel segregated as per topic.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
cs230-stanford/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
cs231n/cs231n.github.io
Public facing notes page
imelnyk/ArxivPapers
Code behind Arxiv Papers
lukas-blecher/LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
jeertmans/manim-slides
Tool for live presentations using manim
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
TransformerOptimus/SuperAGI
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
rwguerra/Machine-Learning-with-Python-IBM
Coursera IBM ML course projects with notebooks
nitinraturi/django-tinymce-integration
Learn to integrate tinymce WYSIWYG editor in the django's admin
DGRMary/feedback_control_design
This is the design of a feedback controller, realized for the 'Automatic Control' course at Politecnico di Torino, using MATLAB.
Qubinode/qubinode-installer
An easy to set up OpenShift development kit powered by Red Hat Ansible.