921 Open source projects that are alternatives of or similar to Transformer In Transformer

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Implementation of Bottleneck Transformer in Pytorch

Deep learning codes and projects using Python

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Deep Learning Computer Vision Algorithms for Real-World Use

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Best Practices, code samples, and documentation for Computer Vision.

High-performance Vision library in Python. Scale your research, not boilerplate.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

An AI based application to identify currency and gives audio feedback.

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Efficient Learning of Augmentation Policy Schedules

An easy to use C# deep learning library with CUDA/OpenCL support

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

CNN image classifier implemented in Keras Notebook 🖼️.

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

An End-To-End, Lightweight and Flexible Platform for Game Research

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

🌄 Open Source AI Landscape - provides overview of top tier projects in the open source AI ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.

A full-featured editor for working with Utility-based AI

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Library to scrape and clean web pages to create massive datasets.

A script in python to organize your images by similarity.

周志华《机器学习》手推笔记

Technical blog repo of metaflow

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Resource scheduling and cluster management for AI

Testbed for deep reinforcement learning

A Keras implementation of MobileNetV3.

Autodifferentiation package in Rust.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

A single-page website aiming to provide innovative and intuitive visualizations of common and AI algorithms.

Sandbox for training deep learning networks

A small, self-contained minesweeper solver written in Java

A machine learning experiment

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

A Compositional Object-Based Approach to Learning Physical Dynamics

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and FPGAs using deep learning (Tensorflow, Tensorflow lite, TensorRT & OpenVINO). Multi-OS (NVIDIA Jetson, Android, Raspberry Pi, Linux, Windows) and Multi-Arch (ARM, x86).

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

ECG arrhythmia classification using a 2-D convolutional neural network

Avalanche: a End-to-End Library for Continual Learning.

Log Anomaly Detection - Machine learning to detect abnormal events logs

Notebook for my medium article about how to use Dataset API in TensorFlow

A curated list of resources for embedded AI

Here we are going to make some python projects during Quarantine time

A specially designed light version of Fast AutoAugment

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等