ziyu-deep Goto Github PK

idrl

Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).

if-estimators

Estimators for Information Theoretic Functionals using Influence Functions

ijcai-paper-list-of-anomaly-detection

A list of accepted papers in recent IJCAI about anomaly detection.

incremental_decision_tree-cart-random_forest

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

info8004-advanced-machine-learning

Lectures for INFO8004 - Advanced Machine Learning, ULiège

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

information-theoretical-foundations-for-anomaly-detection

A personal study note.

information-theory-mooc

This is the note for Prof. Raymond W. Yeung's MOOC class: Information Theory (https://www.coursera.org/learn/information-theory/home/welcome).

information_directed_sampling

Implementation of Russo and Van Roy work on Information Directed Sampling (2017)

interp-net

Interpolation-Prediction Networks for Irregularly Sampled Time Series

inv-rep

Code for Invariant Rep. Without Adversaries (NIPS 2018)

joint-afa-classification

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

kl-divergence-estimators

Testing methods for estimating KL-divergence from samples.

learning-adversarially-robust-representations

Code for https://arxiv.org/abs/2002.11798

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

leksaiye.github.io

liboqs-python

Python 3 bindings for liboqs

libpqp

👥 A Python post-quantum cryptography library

lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

machine-learning-for-public-policy

This is the repository to save my assignments of Machine Learning for Public Policy.

machine-learning-for-trading

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machine-learning-pipeline

machine-learning-pipeline-old

machine-learning-session