JasonFine's repositories
tianshou
An elegant PyTorch deep reinforcement learning library.
SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
mann
Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
DeepLearningNote
this is all of my code and data with my deep learning note
Transfer-Learning-Library
Transfer-Learning-Library
scmmd
Maximum mean discrepancy comparisons for single cell profiling experiments
bert
TensorFlow code and pre-trained models for BERT
Deep_CORAL_pytorch
Deep CORAL on jupyter notebook
OptQuantMMD
Optimal Quantisation of Probabililty Measures Using Maximum Mean Discrepancy (Teymur et al. AISTATS 2021)
Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Hands-On-Artificial-Intelligence-for-IoT
Hands-On Artificial Intelligence for IoT, published by Packt
MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
beijing_house_knowledge
北京买房攻略
hands-on-transfer-learning-with-python-1
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
cryptocurrency-price-prediction
Cryptocurrency Price Prediction Using LSTM neural network
machine_learning_code
机器学习与深度学习算法示例
cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
DeepLearning-1
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
DA
Unsupervised Domain Adaptation Papers and Code
balanced-joint-maximum-mean-discrepancy
Balanced joint maximum mean discrepancy for deep transfer learning
MINIST
pytorch+MINIST实现手写数字识别
MMD-AutoEncoding-GAN-MAEGAN-
Maximum Mean Discrepancy Auto-Encoding Generative Adversarial Networks (MAEGAN)
graphvite
GraphVite: A General and High-performance Graph Embedding System
openTSNE
Extensible, parallel implementations of t-SNE
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习