Most popular neural-network repositories and open source projects

MLKit

A simple machine learning framework written in Swift 🤖

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Single-Path-One-Shot-NAS-MXNet

Single Path One-Shot NAS MXNet implementation with full training and s...

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nntrainer

NNtrainer is Software Framework for Training Neural Network Models on...

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gpt-paper-title-generator

Generating paper titles (and more!) with GPT trained on data scraped f...

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relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases...

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Self-Driving-Car

Automated Driving in NFS using CNN.

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subsync

Synchronize your subtitles using machine learning

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MxNet.Sharp

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and...

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neural-network-lyapunov

Synthesizing neural-network Lyapunov functions (and controllers) as st...

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learn

Neuro-symbolic interpretation learning (mostly just language-learning,...

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storch

GPU accelerated deep learning and numeric computing for Scala 3.

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yuna-ai

Your Private Companion. The future AGI takeover starts here!

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InferPy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

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image-caption-generator

[DEPRECATED] A Neural Network based generative model for captioning im...

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pytorch-attention

pytorch neural network attention mechanism

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cpp_nn_in_a_weekend

Article and source code reference to construct a C++ neural network in...

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Cryptocurrency-Prediction-with-Artificial-Intelligence

First Version.. Cryptocurrency Prediction with Artificial Intelligence...

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sketchy-vision

Each week I create sketches covering key Computer Vision concepts. If...

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SpareNet

Style-based Point Generator with Adversarial Rendering for Point Cloud...

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sims

Simulations for the Computational Cognitive Neuroscience textbook

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NeuralSolvers

Neural network based solvers for partial differential equations and in...

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MIDASpy

Python package for missing-data imputation with deep learning

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reliability-diagrams

Reliability diagrams visualize whether a classifier model needs calibr...

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PyNorch

Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with mu...

11   145   145  

Learned-Indexes

Implementation of BTree part for paper 'The Case for Learned Index St...

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python-tutorial-notebooks

Python tutorials as Jupyter Notebooks for NLP, ML, AI

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DeepACO

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial...

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neural-cli

command line neural network

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evolving-simple-organisms

Evolving simple organisms using a genetic algorithm and deep learning...

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deep-learning-resources

A Collection of resources I have found useful on my journey finding my...

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Factorized-TDNN

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orth...

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probabilistic-federated-neural-matching

Bayesian Nonparametric Federated Learning of Neural Networks

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neural-disaggregator

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow...

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How-Diffusion-Models-Work

In How Diffusion Models Work, you will gain a deep familiarity with th...

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ContinuousParetoMTL

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Lear...

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face-recognition-using-deep-learning

Identify faces from video and images using OpenCV and Deep Learning

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densenet-sdr

repo that holds code for improving on dropout using Stochastic Delta R...

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onnx-scala

An ONNX (Open Neural Network eXchange) API and backend for typeful, fu...

9   142   142  

rnn_recsys

Our implementation of the paper "Embedding-based News Recommendation f...

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linguistic-style-transfer

Neural network parametrized objective to disentangle and transfer styl...

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TinyTensor

TinyTensor is a tool for running already trained NN (Neural Network) m...

9   141   141  

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolu...

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Algorithms-Java

A collection of common algorithms and data structures implemented in J...

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bot-evolution

An interesting display of evolution through neural networks and a gene...

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summary

summaries of all the papers I read

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CoreNeuron

Simulator optimized for large scale neural network simulations.

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OKAI

OKAI - An Interactive Introduction to Artificial Intelligence (AI)

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Deep-MVLM

A tool for precisely placing 3D landmarks on 3D facial scans based on...

30   138   138  

MachineLearningWithPython

Get started with Machine Learning with Python - An introduction with P...

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function-identification

This project demonstrates how a convolutional neural network can be us...

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