fjfzclcxj's starred repositories
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, ... 🧠
thuservices
https://thu.services
tf-seq2seq
Sequence to sequence learning using TensorFlow.
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
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.
RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
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
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Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained