6692 Open source projects that are alternatives of or similar to Deeplearning.ai Natural Language Processing Specialization

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Code for the Lovász-Softmax loss (CVPR 2018)

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

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

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

brief introduction to Python for neural networks

I will update this repository to learn Machine learning with python with statistics content and materials

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

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

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

Fast and Easy Infinite Neural Networks in Python

General Assembly's 2015 Data Science course in Washington, DC

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

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

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

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

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

Machine Learning for High Energy Physics.

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

A New, Interactive Approach to Learning Python

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

🟣 Object detection of abstract shapes with neural networks

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

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 is Andrew NG Coursera Handwritten Notes.

An open-source tool for sequence learning in NLP built on TensorFlow.

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

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

A neural network that transforms a design mock-up into a static website.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

Coherent Semantic Attention for image inpainting(ICCV 2019)

Machine Learning notebooks for refreshing concepts.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

RadIO is a library for data science research of computed tomography imaging

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Codes for weekly challenges on Deep Learning by Siraj

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

Deep learning codes and projects using Python

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Grokking Deep Reinforcement Learning

BERT for Multitask Learning

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Action recognition using soft attention based deep recurrent neural networks

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

Contains my explorations of TensorFlow 2.x

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

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

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.

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

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Repo for the Deep Reinforcement Learning Nanodegree program

A simple probabilistic programming language.