State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

Resources for some of our education content

Reproducible Jupyter notebooks, powered by uv.

MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

This repository consists for gpu bootcamp material for HPC and AI

Meta-GPU lesson covering general aspects of GPU programming as well as specific frameworks

An extremely fast Python package and project manager, written in Rust.

Target of the site project is to propose several internal projects of ERP, SCADA, and SysML to Describe, Execute and Improve end to end Manufacturing digitalization. There are three folders for eac…

Curated list of Industry 4.0 research, popular events, open-source software projects and learning resources that are worth looking into!

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anom…

Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference

Datasets for Predictive Maintenance

LSTMS for Predictive Maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

A modern and intuitive terminal-based text editor

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

A modular graph-based Retrieval-Augmented Generation (RAG) system

Tiled scrollable window management for Gnome Shell

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

Robust Speech Recognition via Large-Scale Weak Supervision

Learning Convolutional Neural Networks with Interactive Visualization.

Explore and interpret large embeddings in your browser with interactive visualization! 📍

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any trainin…

sentence embedding by Smooth Inverse Frequency weighting scheme

State-of-the-Art Text Embeddings

AdalFlow: The library to build & auto-optimize LLM applications.