57 Repositories
Python hardware Libraries
Python code to control laboratory hardware and perform Bayesian reaction optimization on the MIT Make-It system for chemical synthesis
Description This repository contains code accompanying the following paper on the Make-It robotic flow chemistry platform developed by the Jensen Rese
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
Hugging Face Optimum 🤗 Optimum is an extension of 🤗 Transformers, providing a set of performance optimization tools enabling maximum efficiency to t
EvoJAX is a scalable, general purpose, hardware-accelerated neuroevolution toolkit
EvoJAX: Hardware-Accelerated Neuroevolution EvoJAX is a scalable, general purpose, hardware-accelerated neuroevolution toolkit. Built on top of the JA
QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive parallelism
QDax: Accelerated Quality-Diversity QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive paralleli
An energy estimator for eyeriss-like DNN hardware accelerator
Energy-Estimator-for-Eyeriss-like-Architecture- An energy estimator for eyeriss-like DNN hardware accelerator This is an energy estimator for eyeriss-
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Monitor deep learning model training and hardware usage from mobile. 🔥 Features Monitor running experiments from mobile phone (or laptop) Monitor har
Program your own vulkan.gpuinfo.org query in Python. Used to determine baseline hardware for WebGPU.
query-gpuinfo-data License This software is not presently released under a license. The data in data/ is obtained under CC BY 4.0 as specified there.
Measures input lag without dedicated hardware, performing motion detection on recorded or live video
What is InputLagTimer? This tool can measure input lag by analyzing a video where both the game controller and the game screen can be seen on a webcam
Hw-ci - Hardware CD/CI and Development Container
Hardware CI & Dev Containter These containers were created for my personal hardware development projects and courses duing my undergraduate degree. Pl
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
Isaac ROS Visual Odometry This repository provides a ROS2 package that estimates stereo visual inertial odometry using the Isaac Elbrus GPU-accelerate
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences an
AMC- Automatic Media Access Control [MAC] Address Spoofing Tool
AMC (Automatic Media Access Control [MAC] Address Spoofing tool), helps you to protect your real network hardware identity. Each entered time interval your hardware address was changed automatically. without interrupting your internet connection.
A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
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Code, final versions, and information on the Sparkfun Graphical Datasheets
Graphical Datasheets Code, final versions, and information on the SparkFun Graphical Datasheets. Generated Cells After Running Script Example Complete
Hardware-accelerated DNN model inference ROS2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU
Isaac ROS DNN Inference Overview This repository provides two NVIDIA GPU-accelerated ROS2 nodes that perform deep learning inference using custom mode
Deep learned, hardware-accelerated 3D object pose estimation
Isaac ROS Pose Estimation Overview This repository provides NVIDIA GPU-accelerated packages for 3D object pose estimation. Using a deep learned pose e
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio
Extremely simple PyBadge examples to demonstrate different aspects of CircuitPython using PyBadge hardware.
BeginnerPyBadge I purchased a PyBadge recently. I'm new to hardware. I was surprised how hard it was to find easy examples demonstrating how different
EuroPi: A reprogrammable Eurorack project based on the Raspberry Pi Pico
EuroPi The EuroPi is a fully user reprogrammable module based on the Raspberry Pi Pico, which allows users to process inputs and controls to produce o
Colin O'Flynn's Hacakday talk at Remoticon 2021 support repo.
Hardware Hacking Resources This repo holds some of the examples used in Colin's Hardware Hacking talk at Remoticon 2021. You can see the very sketchy
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
HAWQ: Hessian AWare Quantization HAWQ is an advanced quantization library written for PyTorch. HAWQ enables low-precision and mixed-precision uniform
Management of exclusive GPU access for distributed machine learning workloads
TensorHive is an open source tool for managing computing resources used by multiple users across distributed hosts. It focuses on granting
Open source hardware and software platform to build a small scale self driving car.
Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbyists and students with a focus on allowing fast experimentation and easy community contributions.
Converts from PC formatted MAC addresses (hardware addresses) to Cisco format or vice-versa
MAC-Converter Converts from PC formatted MAC addresses (hardware addresses) to Cisco format or vice-versa Stores the results to a file in the same dir
Hardware: CTWingSKIT_BC28 Development Toolkit
IoT Portal Monitor Tools hardware: CTWingSKIT_BC28 Development Toolkit serial port driver: ST-LINK hardware development environment: Keli 5 MDK IoT pl
[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search paper | website One Proxy Device Is Enough for Hardware-Aware Neural Architec
Port of Uxn to digital hardware in the Logisim simulator
Uxn-Logisim Implements the Uxn instruction set in digital hardware. Very WIP. Contents cpu.circ - The Logisim file microcode.mc - Microcode source fil
Self Driving Car Prototype
Package Delivery Rover 🚀 This project is a prototype of Self Driving Car. It's based on embedded systems, to meet the current requirement of delivery
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning.
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
A refreshed Python toolbox for building complex digital hardware
A refreshed Python toolbox for building complex digital hardware
Hardware-accelerated ROS2 packages for camera image processing.
Isaac ROS Image Pipeline Overview This metapackage offers similar functionality as the standard, CPU-based image_pipeline metapackage, but does so by
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio
Code for the USENIX 2017 paper: kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels
kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels Blazing fast x86-64 VM kernel fuzzing framework with performant VM reloads for Linux, MacOS an
Event-based hardware simulation framework
An event-based multi-device simulation framework providing configuration and orchestration of complex multi-device simulations.
An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
FIDNet_SemanticKITTI Motivation Implementing complicated network modules with only one or two points improvement on hardware is tedious. So here we pr
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
Rockpool Rockpool is a Python package for developing signal processing applications with spiking neural networks. Rockpool allows you to build network
Python code written to utilize the Korlan usb2can hardware to send and receive data over the can-bus on a 2008 Nissan 350z
nissan_ecu_hacking Python code written to utilize the Korlan usb2can hardware to send and receive data over the can-bus on a 2008 Nissan 350z My goal
An open source Jetson Nano baseboard and tools to design your own.
My Jetson Nano Baseboard This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It
Commodore 64 OS running on Atari 8-bit hardware
This is the Commodre 64 KERNAL, modified to run on the Atari 8-bit line of computers. They're practically the same machine; why didn't someone try this 30 years ago?
Use Raspberry Pi and CircuitSetup's power monitor hardware to publish electrical usage to MQTT
This repo has code and notes for whole home electrical power monitoring using a Raspberry Pi and CircuitSetup modules. Beyond just collecting data, it
IDA file loader for UF2, created for the DEFCON 29 hardware badge
UF2 Loader for IDA The DEFCON 29 badge uses the UF2 bootloader, which conveniently allows you to dump and flash the firmware over USB as a mass storag
Software & Hardware to do multi color printing with Sharpies
3D Print Colorizer is a combination of 3D printed parts and a Cura plugin which allows anyone with an Ender 3 like 3D printer to produce multi colored
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
This repository contains the SystemVerilog RTL, C++, HLS (Intel FPGA OpenCL to wrap RTL code) and Python needed to reproduce the numerical results in
Hardware accelerated, batchable and differentiable optimizers in JAX.
JAXopt Installation | Examples | References Hardware accelerated (GPU/TPU), batchable and differentiable optimizers in JAX. Installation JAXopt can be
Craxk is a SINGLE AND NON-REPLICABLE Hash that uses data from the hardware where it is executed to form a hash that can only be reproduced by a single machine.
What is Craxk ? Craxk is a UNIQUE AND NON-REPLICABLE Hash that uses data from the hardware where it is executed to form a hash that can only be reprod
Backdoor is a term that refers to the access of the software or hardware of a computer system without being detected.
This program is an non-object oriented opensource, hidden and undetectable backdoor/reverse shell/RAT for Windows made in Python 3 which contains many features such as multi-client support and cross-platform server.
A project which aims to protect your privacy using inexpensive hardware and easily modifiable software
Protecting your privacy using an ESP32, an IR sensor and a python script This project, which I personally call the "never-gonna-catch-me-in-the-act-ev
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
The SLIDE package contains the source code for reproducing the main experiments in this paper. Dataset The Datasets can be downloaded in Amazon-
[ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark Accepted as a spotlight paper at ICLR 2021. Table of content File structure Prerequi
Ralph is the CMDB / Asset Management system for data center and back office hardware.
Ralph Ralph is full-featured Asset Management, DCIM and CMDB system for data centers and back offices. Features: keep track of assets purchases and th
Python package that generates hardware pinout diagrams as SVG images
PinOut A Python package that generates hardware pinout diagrams as SVG images. The package is designed to be quite flexible and works well for general
QKeras: a quantization deep learning library for Tensorflow Keras
QKeras github.com/google/qkeras QKeras 0.8 highlights: Automatic quantization using QKeras; Stochastic behavior (including stochastic rouding) is disa
Random scripts and other bits for interacting with the SpaceX Starlink user terminal hardware
starlink-grpc-tools This repository has a handful of tools for interacting with the gRPC service implemented on the Starlink user terminal (AKA "the d
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this
Python based scripts for obtaining system information from Linux.
sysinfo Python based scripts for obtaining system information from Linux. Python2 and Python3 compatible Output in JSON format Simple scripts and exte
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this