Starred repositories
A React Framework for building internal tools, admin panels, dashboards & B2B apps with unmatched flexibility.
Material workbench for the master-level course CS-E4740 "Federated Learning"
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
💎A site, that contains systematic optimization methods and theory review
NVIDIA Federated Learning Application Runtime Environment
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
Blockchain (Ethereum) dApps development made easy with Parse Server (alpha)
Homework assignments to go along with The Effect
Class materials for "Intermediate Statistics for HSR" at IHPME (Winter 2024)
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
A modern animation library for React and JavaScript
Jupyter Notebooks for Probability & Statistics (Persian Language)
Machine Learning Course, Sharif University of Technology
دورهی آمار و احتمال مهندسی، برای دانشجویان
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
MetaCall: The ultimate polyglot programming experience.
Code examples, data structures, and links from my book, Rust Atomics and Locks.
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.