AlienAlan's repositories
brain.js
🤖 Neural networks in JavaScript
ColossalAI
Making large AI models cheaper, faster and more accessible
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
encoder_decoder
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
icml-nips-iclr-dataset
All papers, authors and author affiliations from ICML, NIPS and ICLR 2016-2018
L0_regularization
Learning Sparse Neural Networks through L0 regularization
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
MachineLearning
Basic Machine Learning and Deep Learning
MachineLearning-1
Machine Learning in Action（机器学习实战）
magenta
Magenta: Music and Art Generation with Machine Intelligence
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
N3LP
C++ implementation for Neural Network-based NLP, such as LSTM machine translation!
NeuralTuringMachine
Tensorflow implementation of a Neural Turing Machine
nips-grab
Grab papers from the NIPS conference proceedings pages
ntm
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
pytorch-beginner
pytorch tutorial for beginners
pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
Time-series-forecasting-using-CNTK
The code to accompany “Time-series-forecasting-using-CNTK” tutorial on <a href="https://gallery.cortanaintelligence.com">Cortana Intelligence Gallery </a>.
vae
a simple vae and cvae from keras
variational-autoencoder
generate MNIST using a Variational Autoencoder