neural-network

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

A primitive library for neural network

A collection of computer vision pre-trained models.

Owl - OCaml Scientific Computing @ https://ocaml.xyz

nGraph has moved to OpenVINO

A group of notebooks and other files which can help you learn AI from scratch.

Arm NN ML Software.

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

RNN based Time-series Anomaly detector model implemented in Pytorch.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

A neural network toolkit for Metal

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

A python library for visualizing Artificial Neural Networks (ANN)

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP...

[ECCV`24&ICLR`25] CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Pure python implementation of SNN

Arbitrary style transfer using TensorFlow.js

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representa...

Diagrams for visualizing neural network architecture

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Research on Tabular Deep Learning: Papers & Packages

:factory: Collaboratively build, visualize, and design neural nets in browser

Audio processing by using pytorch 1D convolution network

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

Samples and Tools for Windows ML.

Implementation of Quickdraw - an online game developed by Google

torchview: visualize pytorch models

curated collection of papers for the nlp practitioner 📖👩‍🔬

Rap song writing recurrent neural network trained on Kanye West's entire discography

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Dataflow compiler for QNN inference on FPGAs

Upscale an image by a factor of 4, while generating photo-realistic details.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

Multi Model Server is a tool for serving neural net models for inference

Monthly Series - Machine Learning Top 10 Open Source Projects

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendatio...

Implementing Siamese networks with a contrastive loss for similarity learning

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoC...

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

Active learning for systematic reviews

Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】