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

Apache NuttX is a mature, real-time embedded operating system (RTOS)

Julia port of the Python autograd package.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Keras implementations of Generative Adversarial Networks.

an Open Course Platform for Stanford CS224n (2020 Winter)

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

A Naive Bayes machine learning implementation in Elixir.

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Contains my explorations of TensorFlow 2.x

A tool for automatic phoneme transcription

Keras tutorial for beginners (using TF backend)

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

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

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.

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

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

object-oriented C++ RTOS for microcontrollers

Augmenting word embeddings with their surrounding context using bidirectional RNN

Forth inspired programming language for the ESP8266

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!

Brevitas: quantization-aware training in PyTorch

Code for polyaxon tutorials and examples

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Tools and libraries to run neural networks in Minecraft ⛏

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

simple neural network library in ANSI C

LTE CAT-M/NB-IoT Arduino-compatible shield with GNSS and temperature sensor. Library supports SIMCom 2G/3G/4G LTE/CAT-M/NB-IoT

A curated list of awesome open source electronic resources for robotics

Plain python implementations of basic machine learning algorithms

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

A scikit-learn compatible library for graph kernels

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

ADAM - A Question Answering System. Inspired from IBM Watson

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

Deep Learning Computer Vision Algorithms for Real-World Use

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

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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

The Swiss army knife of data examination and manipulation

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 wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

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

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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

Organize your folders into a beautiful classified folder structure with this perfect tool

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

Snips NLU rust implementation

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

AI 尬舞机

Highway networks implemented in PyTorch.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Deploy a ML inference service on a budget in less than 10 lines of code.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Open standard for machine learning interoperability

A collection of Machine Learning algorithms written from sctrach.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)