190 Open source projects that are alternatives of or similar to Niutensor

Deep Learning framework with NVIDIA & AMD support

Classifying the Blur and Clear Images

Open, Modular, Deep Learning Accelerator

Automatic Differentiation for Tensor Algebras

Statically sized tensors and related operations for Julia

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

A collection of Methods and Models for various architectures of Artificial Neural Networks

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

Cut out objects and remove backgrounds from pictures with artificial intelligence

The "Supersymmetric Artificial Neural Network" (or "Edward Witten/String theory powered artificial neural network") is a Lie Superalgebra aligned algorithmic learning model, based on evidence pertaining to Supersymmetry in the biological brain.

Análisis numérico y cómputo científico

A simple tool to extract motion vectors from h264 encoded videos.

Useful Toolbox for Anomaly Detection

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

A curated list of awesome awesomeness about artificial intelligence

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

A collection of deep learning models with a unified API.

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.

A Julia package for n-dimensional sparse tensors.

No description or website provided.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Implementation of Artificial Neural Networks using NumPy

Perfect TensorFlow Server Example of Computer Vision

Training with FP16 weights in PyTorch

Tensor Train Toolbox

An implementation of Fibonacci Anyons in Haskell

European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.

LibRec: A Leading Java Library for Recommender Systems, see

EVEREST: e-Versatile Research Stick for peoples

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

OCaml bindings for PyTorch

Deep Learning using Rectified Linear Units (ReLU)

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

The GeniSys TASS Devices & Applications use Siamese Neural Networks and Triplet Loss to classify known and unknown faces.

Learning to Cluster. A deep clustering strategy.

An open source ML system for the end-to-end data science lifecycle

Repository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Curated Tensorflow code resources to help you get started with Deep Learning.

It slices, it dices, it splices!

eXpression differentiation in Julia

Nuerapse simulations for SNNs

Blitz++ Multi-Dimensional Array Library for C++

N-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

The backpropagation algorithm explained and demonstrated.

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

A beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

The simplest form of an artificial neural network explained and demonstrated.

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Tensors and differentiable operations (like TensorFlow) in Rust

Tensors in Haskell

A Deep-Learning multi-purpose chatbot made using Python3