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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

周志华《机器学习》手推笔记

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Technical blog repo of metaflow

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

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

Time Series Forecasting Best Practices & Examples

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.

Resource scheduling and cluster management for AI

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

Testbed for deep reinforcement learning

Image quality is an open source software library for Image Quality Assessment (IQA).

A Keras implementation of MobileNetV3.

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Autodifferentiation package in Rust.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

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

码农周刊 - 史上最全的编程学习资料合集（持续更新）

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

This repository contains landmark research papers in Natural Language Processing that came out in this century.

Sandbox for training deep learning networks

Board game AI implementations using Monte Carlo Tree Search

A machine learning experiment

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

A small, self-contained minesweeper solver written in Java

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

A Compositional Object-Based Approach to Learning Physical Dynamics

A RiveScript interpreter for Python. RiveScript is a scripting language for chatterbots.

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

A smart album for Android which use tensorflow to classify images

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

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Log Anomaly Detection - Machine learning to detect abnormal events logs

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A curated list of resources for embedded AI

Open Source Indonesian Python Programming Tutorial Site

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

🔓 🔑 🔐 Origami: Artificial Intelligence as a Service

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

Flappy Bird AI using Evolution Strategies

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

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

Bridging the gap Between Stability and Scalability in Neural Architecture Search

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

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

Continual Learning tutorials and demo running on Google Colaboratory.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

a python grammar for evolutionary algorithms and heuristics

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Code for Java Deep Learning Cookbook

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

A dynamic cover point generator plugin for Unreal Engine 4.

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

🤖 The Cocoa Artificial Intelligence Lab

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

Free and open source A.I. system based on Python, TensorFlow and Prolog.