6411 Open source projects that are alternatives of or similar to Attentionn

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Books, papers and links to latest research in ML/AI

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Aspect-Based Sentiment Analysis

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Implementation of simple autoencoders networks with Keras

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Support content for my blog

🎨 Artistic neural style transfer with tweaks (pytorch).

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Code for the Lovász-Softmax loss (CVPR 2018)

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Fast and Easy Infinite Neural Networks in Python

Datasets, tools, and benchmarks for representation learning of code.

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Machine learning, in numpy

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

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

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Computations and statistics on manifolds with geometric structures.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Daily Dose of Neural Network that Everyone Needs

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Deep Learning Specialization by Andrew Ng on Coursera.

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Visualisations for Convolutional Neural Networks in Pytorch

Natural Language Processing Tutorial for Deep Learning Researchers

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Koç University deep learning framework.

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Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Image augmentation library in Python for machine learning.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

My Attempt(s) In The World Of ML/DL....

Machine Learning for High Energy Physics.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

🟣 Object detection of abstract shapes with neural networks