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Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Scripts to train a bidirectional LSTM with knowledge distillation from BERT
Deep Learning Toolkit for Medical Image Analysis
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
New repo for the Ideal Data Science Profiles Project
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Pytorch implementation of various Knowledge Distillation (KD) methods.
Implementation of Distilling the Knowledge in a Neural Network https://arxiv.org/pdf/1503.02531.pdf
PyTorch implementation of "Distilling the Knowledge in a Neural Network"
Code for assignments of the graduate course CS 7643: Deep Learning offered at Georgia Tech in Fall 2018.
Time Series embedding using LSTM Autoencoders with PyTorch in Python
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
Automatically exported from code.google.com/p/opencl-book-samples
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
Jupyter notebooks for learning how to use SimpleITK
A tool for data preprocess on iTrust SWaT dataset.
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
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.