PyTorch从入门到精通

【干货】史上最全的PyTorch学习资源汇总

Python Library for Probabilistic Graphical Models

中南大学学位论文LaTeX模板

Fast, flexible and easy to use probabilistic modelling in Python.

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

Keras Temporal Convolutional Network.

Sequence modeling benchmarks and temporal convolutional networks

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

STCN: Stochastic Temporal Convolutional Networks

Models and examples built with TensorFlow

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

TCN architecture for time series

A list of all named GANs!

A MNIST-like fashion product database. Benchmark 👉

MatConvNet: CNNs for MATLAB

vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

Train your own data with MatConvNet

The code on deep learning.

it contains all the MATLAB demo code associated with my machine learning notes

Kaggle | Web Traffic Forecasting 📈

starter from "How to Train a GAN?" at NIPS2016

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"