Stars
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
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
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)
A Python package for decoding RAW and DAT files (Prophesee) to structured NumPy arrays of events.
Animation of population dynamics following a Trefoil knot
[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.
List of awesome semiconductor startups
A game theoretic approach to explain the output of any machine learning model.
Analog Front End for Bio-Signals - IEEE SSCS PICO
A system for quickly generating training data with weak supervision