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deeplearning_notes

densitypeakcluster

Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.

dnner

Deep Neural Networks Entropy from Replicas

documentation

Plotly's Documentation

dottorato_ai_area

dpa

The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.

dssc_dl_2021

Repository for the DL Course AA 2020-2021 @ DSSC UniTS

dssc_dl_2022

Repository for the DL Course AA 2021-2022 @ DSSC UniTS

ecg_ptbxl_benchmarking

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fast-individual-gradients-with-autodiff

fastai

The fast.ai deep learning library, lessons, and tutorials

frcnn_cad

Computer aided detection using Faster-RCNN

gansu

Explorative Generative Adversarial Networks Models

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

idcore

intrinsicdimdeep

Code for the intrinsic dimensionality estimate of data representations

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

kmnist

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

loss-landscape

Code for visualizing the loss landscape of neural nets

lottery-ticket-hypothesis

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mhpc-deeplearning-lectures-2019

Advanced Deep Learning Lectures for the Master in HPC (SISSA/ICTP, Trieste)

mhpc-natural-language-processing-lectures-2020

This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)

mhpc_dl

mhpc_dl_2020

mhpc_dl_2022

Github Repo for the DL course

minifold

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm