Machine Learning for High Energy Physics.

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

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

Implementation of simple autoencoders networks with Keras

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

A collection of deep learning models implemented in PyTorch

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

Machine learning, in numpy

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

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

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

🟣 Object detection of abstract shapes with neural networks

Code for "A-NICE-MC: Adversarial Training for MCMC"

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。

BertQA - Attention on Steroids

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

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

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

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.