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How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
deep-learning natural-language-processing tensorflow pytorch
SimpleGAN
A Tensorflow-based framework to ease the training of generative models
computer-vision generative-adversarial-networks tensorflow deep-learning
Visualizing Optimization Trajectory of Neural Nets
This is a project making animated plots for optimization paths inspired by the paper "Visualizing the Loss Landscape of Neural Nets".
multilayer-perceptrons deep-learning visualization tutorial
Retrieve: Automate wget-ting pre-trained models
No-frills library to download pre-trained models, cache it and return the local path.
pre-trained-models library python deep-learning
Deep Learning with Electronic Health Record (EHR) Systems
A comprehensive look at recent machine learning advancements in health.
health deep-learning ehr tutorial
Look inside the workings of "Label Smoothing"
This blog post describes how and why does "trick" of label smoothing improves the model accuracy and when should we use it
deep-learning classification image-classification computer-vision
Taxonomy of Real Faults in Deep Learning Systems
Large taxonomy of faults in deep learning (DL) systems.
checklist bugs deep-learning research
Unsupervised Question Decomposition for Question Answering
Decompose hard (multi-hop) questions into several, easier (single-hop) questions using unsupervised learning, and get better accuracy on multi-hop QA.
question-answering natural-language-processing unsupervised-learning deep-learning
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