1368 Open source projects that are alternatives of or similar to Emlearn

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

QP-nano real-time embedded framework/RTOS for embedded systems based on active objects (actors) and hierarchical state machines

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Augmenting word embeddings with their surrounding context using bidirectional RNN

Yet another yolov5, with its runtime stack for libtorch, onnx, tvm and specialized accelerators. You like torchvision's retinanet? You like yolov5? You love yolort!

Code for polyaxon tutorials and examples

Tools and libraries to run neural networks in Minecraft ⛏

simple neural network library in ANSI C

A curated list of awesome open source electronic resources for robotics

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

A small and customizable full-scale 32-bit RISC-V soft-core CPU and SoC written in platform-independent VHDL.

myLinux is a small UNIX like OS for embedded systems based on Westermo NetBox

The tiny-json is a versatile and easy to use json parser in C suitable for embedded systems. It is fast, robust and portable.

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

End-To-End Molecular Dynamics (MD) Engine using PyTorch

go binding for mxnet c_predict_api to do inference with pre-trained model

A library for high performance deep learning inference on NVIDIA GPUs.

Highway networks implemented in PyTorch.

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

IDE for C embedded development centered on bare-metal ARM systems

(Deprecated) Scikit-learn integration package for Apache Spark

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Interactive SVM Explorer, using Dash and scikit-learn

Speech Recognition model based off of FAIR research paper built using Pytorch.

embedded-device-lab是一个利用qemu模拟真实世界中物联网漏洞的测试环境。由于物联网架构的特殊性，调试分析漏洞通常需要使用qemu模拟执行不同架构的可执行文件。而各种搭建环境，交叉编译是一件费事费力，令人忧伤的工作。 embedded-device-lab利用docker-compose，将各种漏洞调试环境一键化。简单使用两条命令，就可以直接使用gdb或者IDA动态分析相关漏洞。

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

📊 Naive Bayes classifier for JavaScript

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Embedded systems memory management library. Implementations for malloc(), free(), and other useful memory management functions

Driving one of those cheap RF1101SE boards with a Arduino or Teensy

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)

Build conversation Seq2Seq models with TensorFlow

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

Arduino (8-bit AVR) simulator, written in JavaScript and runs in the browser / Node.js

C++ code generator for uTensor https://utensor-cgen.readthedocs.io/en/latest/

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

JAX-based neural network library

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Ordinal regression in Python

Eurorack shield for teensy 4.1 with 14 in / 16 out analog channels

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Blynk IoT library for Python and Micropython

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

Code for reproducing Flow ++ experiments

Digital emulation of the Klon Centaur guitar pedal using RNNs, Wave Digital Filters, and more

A repository for recording the machine learning code

Books, papers and links to latest research in ML/AI

A reproduction of growing neural cellular automata using PyTorch.

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Start writing machine learning code in just 10 hours