CJJC1220's starred repositories
scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
circuit-gnn
[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
ALFramework
主动学习（Active Learning）框架，实现了多个主动学习策略，包括：熵（Entropy）、最大梯度改变（ECG）等。
MAGICAL-CIRCUITS
Circuit release of the MAGICAL project
Digit-Classification-using-Deep-Neural-Networks
Variations of DNNs for Digit Classification on the notMNIST dataset
DNN-and-CNN-in-tensorflow
DNN and CNN for handwritten digits classification
classification-tf-wdbc-wine
DNN classifiers for WDBC and Wine datasets.
MoviePrediction_tensorflow
This project is about creating a predicting the movie success using classification model. DNN Classifiers is used in the Tensor Flow for classifying the movie as Hit, Flop, blockbuster, Super Hit
tensorflow-example
Example DNN classifier used to demonstrate the use of TensorFlow in a Scott Logic blog post.
Tensorflow_ML_Algorithms
Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression
LogisticRegression
Logistic Regression using Tensorflow
Logistic-Regression-in-TensorFlow
A simple logistic regression model written in TensorFlow.
logistic-regression-tensorflow
Logistic Regression and Classification using TensorFlow
Deep-learning-ML-and-tensorflow
Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.
TensorFlow-Intro
Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard
TensorFlow-Regression-Examples
TensorFlow Regression Examples
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
SENet-Tensorflow
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
TensorFlow-Xception
TensorFlow implementation of the Xception Model by François Chollet
Focal-Loss-implement-on-Tensorflow
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
tensorflow_retinanet
RetinaNet with Focal Loss implemented by Tensorflow