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annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

996.Leave

逃离996

run

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

thuhole_memories

logic_vsi

牛津通识读本 Logic: A Very Short Introduction 新译本（补充了第2版新增的两章）

thuservices

https://thu.services

tf-seq2seq

Sequence to sequence learning using TensorFlow.

Beta-VAE

Pytorch implementation of β-VAE

wae

Wasserstein Auto-Encoders

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

GrouPy

Group Equivariant Convolutional Neural Networks

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

exercise

exercise for nndl

RandWireNN

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

T-LSTM

Time-Aware LSTM

text_autoencoder

A RNN based Sequence to Sequence autoenconder for yelp reviews (sentences).

accelerated_dl_pytorch

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II

CDCS

Chinese Data Competitions' Solutions

shap

A game theoretic approach to explain the output of any machine learning model.

deep-learning-notes

Experiments with Deep Learning

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

igebm-pytorch

Implicit Generation and Generalization in Energy Based Models in PyTorch

practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

visallo

Visallo

svae

code for Structured Variational Autoencoders