머신러닝 · GitHub

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

My Machine Learning blog

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Pytorch implementation of Hinton's Dynamic Routing Between Capsules

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

An open-source guide to Python for AI and Machine Learning

Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

DenseNet implementation in Keras

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Distributed TensorFlow basics and examples of training algorithms

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

The implementation of StyleGAN on PyTorch 1.0.1

A simple Python Discord bot that generates images with Stable Diffusion through a local pipeline - img2img, progress reporting, and a model registry.

• Generate images locally using PyTorch via the !generate command
• Generate images by pinging the bot as a @mention and sending an embedded file, it will run img2img

TorchEEG is a library built on PyTorch for EEG signal analysis.