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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Pure python implementation of SNN
All Algorithms implemented in Python
Implementation of Nougat Neural Optical Understanding for Academic Documents
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
FPGA accelerated TinyYOLO v2 object detection neural network
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of Dimitris Antoniadis (PG Taught Student) at Imperial College L…
Matplotlib styles for scientific plotting
Tutorial on the Convolutional Tsetlin Machine
Set of python modules that extends Aaron Spike's inkex.py module, adding methods and classes to help the development of new extensions for inkscape.
Inkscape extension to assist creating logic circuits symbols, following the 'distinctive shape' of IEEE Std 91/91a-1991 standard.
Metapackage to control the edrone via services and topics -https://www.youtube.com/watch?v=M-RYyMyRl9g
HWASim is a simulator for heterogeneous systems with CPUs and Hardware Accelerators (HWAs). It is released with the DASH memory scheduler paper that appeared at ACM TACO 2016: https://users.ece.cmu…
[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.
PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publ…
A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the…
A list of resources related to the open-source FPGA projects
Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration
Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
😎 Awesome lists about all kinds of interesting topics
Papers and Datasets about Point Cloud.
📚 Freely available programming books
SIMPLE MAGIC: Synthesis and In-memory MaPping of Logic Execution for Memristor Aided loGIC