6351 Open source projects that are alternatives of or similar to Gluon Api

Machine Learning notebooks for refreshing concepts.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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.

Korean English NMT(Neural Machine Translation) with Gluon

The implementation of Relativistic average GAN with Keras

Machine Learning University: Accelerated Computer Vision Class

Koç University deep learning framework.

brief introduction to Python for neural networks

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

a collection of my notes on deep learning

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

Notes and experiments to understand deep learning concepts

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

📢 Ready to learn or review your knowledge!

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

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

Visualisations for Convolutional Neural Networks in Pytorch

A collection of deep learning models implemented in PyTorch

Machine Learning for High Energy Physics.

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

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

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

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.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

IEEE "Invited Talk on Deep Learning" 03/02/2018

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

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

Aspect-Based Sentiment Analysis

Code for the Lovász-Softmax loss (CVPR 2018)

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Fast and Easy Infinite Neural Networks in Python

The deeplearning algorithms implemented by tensorflow

🎨 Artistic neural style transfer with tweaks (pytorch).

Machine Learning University: Accelerated Natural Language Processing Class

Implementation of simple autoencoders networks with Keras

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

Use Transformers and LSTMs to learn Python source code

machine learning and deep learning tutorials, articles and other resources

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

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

kaggle Dog Breed Identification

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

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

🟣 Object detection of abstract shapes with neural networks

Anomaly detection for temporal data using LSTMs

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

My personal notes, presentations, and notebooks on everything Deep Learning.

Deep learning codes and projects using Python

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Daily Dose of Neural Network that Everyone Needs

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