Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
An android library that uses technologies like artificial Intelligence, machine learning, and deep learning to make developers understand the content that they are displaying in their app.
Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
An Application for Generating a cooking recipe consist of title, ingredients and instructions from an food image using Deep Learning.
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)
A unified architecture deep learning framework designed specifically for ultra-large-scale sparse models.
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
An on-going paper list on new trends in 3D vision with deep learning
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
A modern deep learning framework built to accelerate research and development of AI systems
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
Summary of open source code for deep learning models in the field of traffic prediction
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
24,545 repositories in the index in total.
