Ricardicus / recurrent-neural-netLinks
A recurrent (LSTM) neural network in C
☆95Updated 3 years ago
Alternatives and similar repositories for recurrent-neural-net
Users that are interested in recurrent-neural-net are comparing it to the libraries listed below
Sorting:
- A recurrent/memory-based neural network library implemented from scratch in C.☆57Updated 4 years ago
- Scalar-valued Automatic Differentiation library in C☆53Updated 2 years ago
- NNCG: A Neural Network Code Generator☆35Updated last year
- Run Keras models from a C++ application on embedded devices☆65Updated 5 years ago
- Pure C ONNX runtime with zero dependancies for embedded devices☆214Updated 2 years ago
- A neural network implementation for the MNIST dataset, written in plain C☆102Updated 4 years ago
- Clover: Quantized 4-bit Linear Algebra Library☆114Updated 7 years ago
- Lightweight C implementation of CNNs for Embedded Systems☆62Updated 2 years ago
- implement AlexNet with C / convolutional nerual network / machine learning / computer vision☆196Updated 4 years ago
- Small deep learning library written from scratch in Python, using NumPy/CuPy.☆125Updated 3 years ago
- A readable CNN Inference implementation in C for anyone who wants to learn what exactly is going on behind the scenes☆57Updated 4 years ago
- Finite state transducer library. Minimalistic pure C implementation.☆14Updated 5 years ago
- Tiny Speech Recognizer☆61Updated 5 years ago
- ☆47Updated 7 years ago
- Highly optimized inference engine for Binarized Neural Networks☆251Updated this week
- Lightweight C++11 library for building deep recurrent neural networks☆43Updated 8 years ago
- ArrayFire's Machine Learning Library.☆105Updated 7 years ago
- Autograd Engine for Python Written in Python C-API for Speed☆20Updated 2 years ago
- Flexible and fast neural network library (feed-forward, RNN, GRU, LSTM, etc)☆59Updated 10 years ago
- A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning☆172Updated 6 years ago
- Header-only C library for Binary Neural Network Feedforward Inference (targeting small devices)☆48Updated 4 years ago
- tiny fast portable real-time deep neural network for regression and classification within 50 LOC.☆52Updated 4 years ago
- A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.☆68Updated 6 years ago
- The C++ Neural Network and Machine Learning project is intended to provide a C++ template library for neural nets and machine learning al…☆83Updated 3 years ago
- A minimal implementation of autograd (in pure Python) 🍰☆96Updated 4 years ago
- An Open Convolutional Neural Network Framework in C++ From Scratch☆66Updated 4 years ago
- Symbolic differentiation engine for optimization-based machine learning models.☆43Updated 8 years ago
- A Numpy implementation of a Generative Adversarial Network.☆17Updated 5 years ago
- nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm impleme…☆100Updated last year
- A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings …☆21Updated 5 years ago