deep_architecture_genealogy
Architecture catalog
Maintains a collection of influential deep learning architectures and their genealogy
Deep Learning Architecture Genealogy Project
1k stars
112 watching
195 forks
Language: Python
last commit: almost 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
homles11/igcv3 | An implementation of an efficient deep neural network architecture | 189 |
gramps-project/gramps | A genealogy program with features for hobbyists and professional genealogists | 2,193 |
nitishsrivastava/deepnet | A collection of GPU-accelerated deep learning algorithms implemented in Python | 895 |
joeddav/devol | An evolutionary algorithm for designing neural networks in Keras | 950 |
baguasys/bagua | A framework for accelerating PyTorch deep learning training | 877 |
sarapieri/fed_het | This project investigates how to design architectures that enable better performance in federated learning systems, particularly for visual recognition tasks. | 10 |
jhkim89/pyramidnet | A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 |
gramps-project/gramps-web-api | A RESTful web API for managing genealogy data | 82 |
coreylowman/dfdx | A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,737 |
deepgram/kur | A system for quickly building and applying state-of-the-art deep learning models to new problems | 817 |
blokhin/genealogical-trees | A web-based application that converts GEDCOM files into genealogical tree graphs and visualizes them using D3.js. | 26 |
hussius/deeplearning-biology | A collection of deep learning implementations in biology and related fields | 2,018 |
davidmoten/gedcom | A Scala library for parsing and representing genealogy data in a structured format | 3 |
vlgiitr/dmn-plus | A PyTorch implementation of an improved question answering architecture with dynamic memory networks and attention mechanisms | 64 |
deepseek-ai/deepseek-moe | A large language model with improved efficiency and performance compared to similar models | 1,006 |