7644 Open source projects that are alternatives of or similar to Echomods

FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

No description or website provided.

High-speed LaserDisc RF sampler

The Kria Robotics Stack (KRS) is a ROS 2 superset for industry, an integrated set of robot libraries and utilities to accelerate the development, maintenance and commercialization of industrial-grade robotic solutions while using adaptive computing.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

A low cost FPGA development board for absolute newbies

A tiny ARM microprocessor which fits in your USB port.

A Just-In-Time Compiler for Verilog from VMware Research

Open Hardware DSP Platform ADAU145x DSP supporting ADAU1452, ADAU1451, and ADAU1450 devices

Libre Hardware Monitor, home of the fork of Open Hardware Monitor

A Python package and CLI tool to work with w1 temperature sensors like DS1822, DS18S20 & DS18B20 on the Raspberry Pi, Beagle Bone and other devices.

This repository contains resources to get you started in the field of your choice.

Transient Array Radio Telescope

Caffe to VHDL

Under development open hardware microwave vector network analyzer

Workshops organized to introduce students to security, AI, AR/VR, hardware and software

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Repository for coursera specialization Applied Data Science with Python by University of Michigan

Build a CNN network to predict 3D bounding box of car from 2D image.

Marvel - Face Recognition With Android & OpenCV

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

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A self-hosted podcast manager/downloader/archiver tool to download podcast episodes as soon as they become live with an integrated player.

A powerful open source data warehouse system

How to do Unsupervised Clustering with Keras

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

The helpful and handy location for finding and sharing z/OS files, which are not included in the product.

Auxiliary Classifier Generative Adversarial Networks in Keras

Decentralized Machine Learning Client

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Python tutorials for introduction to machine learning

🎄 Virtual DOM for Python

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

Multi-Graph Convolutional Neural Networks

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Example of "biological" learning for MNIST

💻 Nextcloud themed desktop client - Moved over to https://github.com/nextcloud/desktop

A fast, extensible, transparent python library for backtesting quantitative strategies.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

RadIO is a library for data science research of computed tomography imaging

Various Notebooks for Lernapparat.de

Deep learning codes and projects using Python

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Getting start with PySpark and MLlib

Intro to deep learning for medical imaging lesson, by MD.ai

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Go binding for TensorFlow Lite

Write, compile, execute and share Blazor components entirely in the browser

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form