6141 Open source projects that are alternatives of or similar to K Nearest Neighbors With Dynamic Time Warping

fastai V2 implementation of Timeseries classification papers.

1st place solution

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Solution to Kaggle - Web Traffic Time Series Forecasting

A python library for time-series smoothing and outlier detection in a vectorized way.

Stock Analysis Tutorial in Python

A Multipurpose Library for Synthetic Time Series Generation in Python

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Anything can happen in the next half hour (including spectral timing made easy)!

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

python implementations of Analyzing Neural Time Series Textbook

Repo for the Deep Reinforcement Learning Nanodegree program

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A repository of different Algorithms and Data Structures implemented in many programming languages.

Korean BERT pre-trained cased (KoBERT)

PyTorch and Tensorflow functional model definitions

fast.ai Courses

Environment for reinforcement-learning algorithmic trading models

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

a tensorflow implementation of WGAN

数据科学的笔记以及资料搜集

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

Python Deep Dive Course - Accompanying Materials

Bayesian Deep Learning Benchmarks

Efficient Image Captioning code in Torch, runs on GPU

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

fast.ai early development experiments

Source code accompanying O'Reilly book: Machine Learning Design Patterns

The codes I made while I practiced various TensorFlow examples

跟大咖一起读源码

Time series classification and clustering code written in Python.

Some work of Andrew Ng's course on Coursera

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

Introduction to Deep Learning for Natural Language Processing

Preparing for machine learning interviews

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

猫狗大战

A pedagogical implementation of Autograd

北邮《Python编程与实践》课程资料

CatBoost tutorials repository

My solution to the book <A collection of Data Science Take-home Challenges>

this repository accompanies the book "Grokking Deep Learning"

BERT score for text generation

An introduction to data science using Python and Pandas with Jupyter notebooks

Recipes for using Python's pandas library

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Two time-scale update rule for training GANs

Code, exercises and tutorials of my personal blog ! 📝

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT