ziyu-deep Goto Github PK

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

kl-divergence-estimators

Testing methods for estimating KL-divergence from samples.

latentplan

Code release for Efficient Planning in a Compact Latent Action Space https://arxiv.org/abs/2208.10291.

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

loop

Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]

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

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

magenta

Magenta: Music and Art Generation with Machine Intelligence

mamba

Imitation learning from multiple experts

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mlforpublicpolicy

Class resources for CAPP 30254 (Machine Learning for Public Policy)

mo-gymnasium

Multi-objective Gymnasium environments for reinforcement learning

models

A collection of pre-trained, state-of-the-art models in the ONNX format

mopo

Code for MOPO: Model-based Offline Policy Optimization

morl

Multi-Objective Reinforcement Learning

multi-objective-rl-and-control

The repository for the project on multi-objective rl and control.

multiclass-datasets-for-anomaly-detection

A short note on multi-class datasets for anomaly detection for our current research project.

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.