6295 Open source projects that are alternatives of or similar to Augmentor

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.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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

Probabilistic reasoning and statistical analysis in 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

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Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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A collection of deep learning models implemented in PyTorch

Repo for the Deep Reinforcement Learning Nanodegree program

Machine Learning for High Energy Physics.

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

Data augmentation for NLP

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

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

🟣 Object detection of abstract shapes with neural networks

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.

links to conference publications in graph-based deep learning

various cv tools, such as label tools, data augmentation, label conversion, etc.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Keras tutorial for beginners (using TF backend)

Implementation of simple autoencoders networks with Keras

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

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.

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

Efficient Learning of Augmentation Policy Schedules

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Deep learning codes and projects using Python

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

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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Machine Learning notebooks for refreshing concepts.

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

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Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'

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🧑‍🏫 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, ... 🧠

Machine Learning Practical course repository

pytorch 包教不包会

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Koç University deep learning framework.

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