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amazon_products_recommendations-rbm

In this project we have built a recommendation system for the electronics products of Amazon using RBM (Restricted Boltzmann Machine) which is an energy-based, stochastic, unsupervised deep learning algorithm.

ann-4

DD2437 - Lab 4 Restricted Boltzmann Machines and Deep Belief Networks

boltzmann-machine

An unsupervised, deep learning, restricted Boltzmann machine used to predict whether somebody will like a movie. The movie data is from MovieLens.org

dbm

Simple implementation of Deep Boltzmann Machine

ddqn_fjsp

deep-generative-models

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-q-learning-dqn-for-job-shop

This is the python code of deep q learning method for job shop problem with keras.

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deep-reinforcement-learning-for-solving-job-shop-scheduling-problems

DRL on JSSPs

deep-restricted-boltzmann-machine

Python Project about Deep Restricted Boltzmann Machines (DBM). The DBM is using a stack of simple 2 layer BMs which are concatenated and work together. The DBM is easy to set up, with only a few function calls needed, and learns to classify or to reconstruct given data sets.

deep-restricted-boltzmann-machines

deeplearning_templates

projects made using ANNs, CNNs, RNNs, autoencoders, boltzmann machines, and SOMs

deeplearningmodel

ANN,RNN,CNN,AutoEncoder,Self Organized Map,Restricted Boltzmann Machine

dl2-rbm

Class group project to implement a Restricted Boltzmann machine to initialize a Deep Neural Network

dpso-ls_fjsp

FJSP based on DPSO + LS

dpso_fjsp

离散化PSO解决FJSP问题

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fanqiang

翻墙-科学上网

fjsp

分别用改进的粒子群优化算法和改进的差分进化算法求解柔性作业车间调度问题

fjsp_jpc

Flexible Job Shop Schedueling

flexible-job-shop

Python implementation of a genetic algorithm for FJSP.

generativeneuralnets

Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models using python. This code has some specalised features for 2D physics data.

job_shop_scheduling_problem_with_reinforcement_learning

This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.

masterarbeit

1. Simulation of a job shop production system 2. Reinforcement Learning agent to control the production system

movie-recommendation-model

A deep learning model to give recommendation of movies to user using Restricted Boltzmann Machine based on paper "An Introduction to Restricted Boltzmann Machines" by Asja Fischer and Christian Igel ( included as AItRBM-proof.pdf )

movie-recommendation-system-boltzmann-machine-

Boltzmann Machine is considered one of the most complex un-supervised deep learning method which is used for recommendation systems. The following project implements a movie recommendation system which is robust and accurate , thanks to Boltzmann machines model. The model is trained on 1,00,000 movies data-set and predicts the ratings with minimal loss.

new-pac

翻墙-科学上网、免费翻墙、免费科学上网、VPN、一键翻墙浏览器，vps一键搭建翻墙服务器脚本/教程，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点，免费自由上网、fanqiang、翻墙梯子，电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网

object-detect

本仓库存放的是目标检测YOLO系列的一些代码以及改进模块的代码实现，需要的小伙伴自取就可以啦~