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annoviko/pyclustering

A comprehensive Python and C++ data mining library for algorithms, clustering, neural networks, and more.

1.2K
Archived
Python
Algorithms
Databases
Python
#data-mining#clustering#neural-networks

reiinakano/arbitrary-image-stylization-tfjs

A JavaScript library for arbitrary style transfer using TensorFlow.js, enabling creative coding and generative art.

1.2K
Archived
JavaScript
Computer Vision
Animation & Motion
JavaScript
#style-transfer#generative-art#deep-learning

xiph/LPCNet

LPCNet is an efficient neural speech synthesis library for developers building voice-based applications.

1.2K
Archived
C
AI Voice & Speech
#speech-synthesis#neural-networks#efficiency

aigamedev/scikit-neuralnetwork

A Python library for building deep neural networks with scikit-learn-compatible classifiers and regressors.

1.2K
Archived
Python
ML Ops
API Frameworks
Python
#neural-networks#machine-learning#data-science

google-research/tapas

End-to-end neural table-text understanding models for question answering and table parsing.

1.2K
Archived
Python
NLP & Question Answering
API Frameworks
TensorFlow
#natural-language-processing#question-answering#table-parsing

Jhy1993/HAN

A heterogeneous graph neural network library for advanced graph representation learning.

1.2K
Archived
Python
Graph Neural Network
Graph Databases
Python
#graph-neural-network#heterogeneous-graph#graph-attention-network

jwwthu/GNN4Traffic

A repository for collecting Graph Neural Network models for traffic forecasting.

1.2K
Archived
ML Ops
API Frameworks
#traffic-forecasting#graph-neural-network#data-science

AlgoTraders/stock-analysis-engine

An open-source stock trading algorithm backtesting platform for training AI models on financial data.

1.2K
Archived
Jupyter Notebook
ML Ops
API Frameworks
Jupyter Notebook
#algorithmic-trading#backtesting#deep-learning

huggingface/hmtl

HMTL is a state-of-the-art neural network model for several NLP tasks based on PyTorch and AllenNLP.

1.2K
Archived
Python
LLM Frameworks
ML Ops
PyTorch
#natural-language-processing#multi-task-learning#pytorch

Artelnics/opennn

OpenNN is a C++ open-source library for building and training artificial neural networks.

1.2K
Active
C++
LLM Frameworks
API Frameworks
#neural-networks#machine-learning#scientific-computing

VeritasYin/STGCN_IJCAI-18

A Python library for spatio-temporal graph convolutional networks, a type of graph neural network for modeling graph-structured data.

1.2K
Archived
Python
ML Ops
Backend Frameworks
#graph-neural-network#spatio-temporal-modeling#machine-learning

NVIDIA/BigVGAN

Official PyTorch implementation of BigVGAN, a neural vocoder for generating high-quality audio, music, and speech.

1.2K
Archived
Python
Audio Generation
Speech Synthesis
PyTorch
#neural-vocoder#audio-synthesis#speech-synthesis

markdtw/awesome-architecture-search

A curated list of resources for neural architecture search, a technique for automated deep learning model design.

1.2K
Archived
Neural Architecture Search
#deep-learning#neural-networks#architecture-search

nndl/practice-in-paddle

A collection of code examples and practices for neural networks and deep learning, useful for AI-focused developers.

1.2K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
Jupyter Notebook
#neural-networks#deep-learning#machine-learning

lightaime/deep_gcns_torch

A PyTorch library for Deep Graph Convolutional Networks (DeepGCNs) and other graph neural network models.

1.2K
Archived
Python
Graph Neural Networks
Databases
PyTorch
#graph-neural-networks#geometric-deep-learning#3d-point-clouds

GuitarML/NeuralPi

A Raspberry Pi guitar pedal that uses neural networks to emulate real amps and effects.

1.2K
Archived
C++
ML Ops
Raspberry Pi
#audio-processing#neural-networks#guitar-effects

hasktorch/hasktorch

Hasktorch provides a Haskell API for tensors and neural networks, enabling developers to build AI applications in a functional programming language.

1.2K
Active
Haskell
LLM Frameworks
API Frameworks
Haskell
#tensors#neural-networks#functional-programming

jaanli/variational-autoencoder

Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.

1.2K
Archived
Python
Deep Learning
Probabilistic Graphical Models
TensorFlow
#variational-autoencoder#autoregressive-networks#unsupervised-learning

Smerity/sha-rnn

A PyTorch library for building Single Headed Attention RNNs, a novel type of neural network for AI applications.

1.2K
Archived
Python
LLM Frameworks
CLI Tools
PyTorch
#rnns#attention-mechanism#neural-networks

Shikhargupta/Spiking-Neural-Network

A pure Python implementation of Spiking Neural Networks for tasks like MNIST classification.

1.2K
Archived
Python
Spiking Neural Networks
API Frameworks
Python
#neural-networks#neuromorphic#spike-trains
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