neural-network
Repositories (1331)
A primitive library for neural network
A collection of computer vision pre-trained models.
nGraph has moved to OpenVINO
Owl - OCaml Scientific Computing @ https://ocaml.xyz
RNN based Time-series Anomaly detector model implemented in Pytorch.
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!)
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
A neural network toolkit for Metal
A python library for visualizing Artificial Neural Networks (ANN)
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
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
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP...
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
Arbitrary style transfer using TensorFlow.js
Pure python implementation of SNN
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representa...
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
[ECCV`24&ICLR`25] CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
:factory: Collaboratively build, visualize, and design neural nets in browser
Research on Tabular Deep Learning: Papers & Packages
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
Audio processing by using pytorch 1D convolution network
Samples and Tools for Windows ML.
Implementation of Quickdraw - an online game developed by Google
Diagrams for visualizing neural network architecture
A group of notebooks and other files which can help you learn AI from scratch.
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"
torchview: visualize pytorch models
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Upscale an image by a factor of 4, while generating photo-realistic details.
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
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
Implementing Siamese networks with a contrastive loss for similarity learning
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...
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...
Dataflow compiler for QNN inference on FPGAs
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
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"】
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
A-Paper-A-Week