Pinned Repositories
ai-roadmap
ApacheCN AI 路线图（知识树）
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
autogbt-alt
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Kaggle-Competition-Sberbank
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Python
All Algorithms implemented in Python
mdjabc's Repositories
mdjabc/Kaggle-Competition-Sberbank
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
mdjabc/bayesian-optimization-1
Python code for bayesian optimization using Gaussian processes
mdjabc/Broad-learning-system-1
mdjabc/convnet_transfer
Code for paper "How transferable are features in deep neural networks?"
mdjabc/data-mining
数据挖掘的相关案例和demo
mdjabc/deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
mdjabc/LGBM_demonstration
A simple script demonstrate how to use GridSearchCV with LightGBM(LGBM) and early stopping
mdjabc/LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
mdjabc/MC_DCNN
Multi channel deep convolutional neural network for time series classification
mdjabc/medical_referrals_catboost
Applying the Catboost algorithm to classify medical referrals as "denied" or "approved".
mdjabc/Neural-Networks-and-Deep-Learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks).
mdjabc/pytorch_3DCNN_Lung
Implementation of AIFT algorithm for lung nodule classification
mdjabc/tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
mdjabc/testing-catboost
surprisingly, here I test the CatBoost gradient boosting library
mdjabc/tfgraphviz
A visualization tool to show a TensorFlow's graph like TensorBoard
mdjabc/weiboanalysis
微博情感分析，文本分类，毕业设计项目