damarobe Goto Github PK
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Tensorflow2 based implementation of ContextNet, an improved convolutional rnn-transducer-based architecture for end-to-end speech recognition using global context
Visualisations for Convolutional Neural Networks in Pytorch
Solutions to all quiz and all the programming assignments!!!
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
This contains programming exercises from all courses within the Coursera DeepLearning.AI TensorFlow Developer Professional Certificate: (i) Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning; (ii) Convolutional Neural Networks in TensorFlow; (iii) Natural Language Processing in TensorFlow; (iv) Sequences, Time Series and Prediction
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Examples of Data Science projects and Artificial Intelligence use cases
Beginners code for Neural Networks
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Deep Learning for Beginners, published by Packt
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep learning with keras (tic-tac-toe game)
This code is related to the paper titled " Deepening into the Suitability of Using Pre-trained Models of ImageNet Against a Lightweight Convolutional Neural Network in Medical Imaging: An Experimental Study"
Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)
Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras
Deep Learning / NLP tutorial for Chatbot Developers
This repository contains codes for binary image classification of seizure detection. EEG signals can be converted into spectrogram images which can be used as inputs for deep learning and transfer learning models.
Master Thesis at the Norwegian School of Economics (NHH)
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
An implementation of Federated Learning using Pytorch and PySyft
Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.
Deep learning as diagnostic support
Analysis of "Forest Cover Type" Dataset from Kaggle
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.