A Deep Learning Python Toolkit for Healthcare Applications.

seqax = sequence modeling + JAX

A minimal GPU design in Verilog to learn how GPUs work from the ground up

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

A prototype Full Stack fully Open Source NV Center Diamond Magnetometer

An open-source electronic portable device capable of automatically diagnose sudden cardiac arrest allowing defibrillation

BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Brownian motion analysis for 3D images of helix from OPM

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.

Pure python implementation of SNN

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

130nm BiCMOS Open Source PDK, dedicated for Analog, Mixed Signal and RF Design. Documentation is here:

Deep learning with spiking neural networks (SNNs) in PyTorch.

A list of neuromorphic software projects

Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols

Deep and online learning with spiking neural networks in Python

Event datasets and transforms.

CH32V003 is an ultra-cheap RISC-V MCU with 2KB SRAM, 16KB flash, and up to 18 GPIOs that sells for under $0.10

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

Closed-form Continuous-time Neural Networks

A Python package for decoding RAW and DAT files (Prophesee) to structured NumPy arrays of events.

Animation of population dynamics following a Trefoil knot

Python package for doing RPA

[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…

splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.

ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.