Stars
ML powered analytics engine for outlier detection and root cause analysis.
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.
Anomaly detection related books, papers, videos, and toolboxes
Anomaly detection library based on singular spectrum transformation(sst)
TODS: An Automated Time-series Outlier Detection System
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A toolkit for reproducible reinforcement learning research.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Multi-label Bert Classification with focal loss weighting, auto cross-label data synthesis, adding exclude loss part among specific labels, upsampling, robust mean over all positive or negative los…
This library was designed for high performance pipeline of feature transform and model prediction as a consistent solution for both online and offline scenes.
Zipline, a Pythonic Algorithmic Trading Library
TuShare is a utility for crawling historical data of China stocks
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
A List of Recommender Systems and Resources
Unsupervised text tokenizer for Neural Network-based text generation.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
MAsked Sequence to Sequence (MASS) pre-training for language generation
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An open-source NLP research library, built on PyTorch.
使用TensorFlow实现的Sequence to Sequence的聊天机器人模型
PyTorch Tutorial for Deep Learning Researchers
Open Source Neural Machine Translation and (Large) Language Models in PyTorch