Tic Tac Toe game on a microcontroller with touch display

Python driver for Wasatch Photonics spectrometers with demo app

Process Control Temperature Lab

Software support for the Temperature Control Laboratory.

Jupyter notebooks demonstrating the process of emulating a PID controller with an LSTM, and using that for anomaly detection

Code release for ConvNeXt V2 model

Grok open release

Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages

Rust bindings for the Python interpreter

A Rust library that provides access to the Raspberry Pi's GPIO, I2C, PWM, SPI and UART peripherals.

🦀 Small exercises to get you used to reading and writing Rust code!

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Code release for ConvNeXt model

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

KivyMD is a collection of Material Design compliant widgets for use with Kivy, a framework for cross-platform, touch-enabled graphical applications. https://youtube.com/c/KivyMD https://twitter.com…

Easy-to-use Modbus RTU and Modbus ASCII implementation for Python.

A full modbus protocol written in python

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Official Code for "Non-deep Networks"

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Efficient vision foundation models for high-resolution generation and perception.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

FPGA based Vision Transformer accelerator (Harvard CS205)

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Caffe: a fast open framework for deep learning.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images