Pinned Repositories
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
AnnotateChange
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
aws-analytics-reference-architecture
Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
databricks-lakehouse
This repo contains live examples to build Databricks' Lakehouse and recommended best practices from the field.
deep-metric-learning-tsinghua-dogs
Dogs classification with Deep Metric Learning
dremio-cloud-tools
Dremio Container Tools
influxdb-client-python
InfluxDB 2.0 python client
iot-api-python
ISF-2020-Deep-Learning-Workshop
hoanglam-novobi's Repositories
hoanglam-novobi/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
hoanglam-novobi/AnnotateChange
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
hoanglam-novobi/aws-analytics-reference-architecture
hoanglam-novobi/Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
hoanglam-novobi/databricks-lakehouse
This repo contains live examples to build Databricks' Lakehouse and recommended best practices from the field.
hoanglam-novobi/deep-metric-learning-tsinghua-dogs
Dogs classification with Deep Metric Learning
hoanglam-novobi/dremio-cloud-tools
Dremio Container Tools
hoanglam-novobi/influxdb-client-python
InfluxDB 2.0 python client
hoanglam-novobi/iot-api-python
hoanglam-novobi/ISF-2020-Deep-Learning-Workshop
hoanglam-novobi/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
hoanglam-novobi/LDA_Bimeta
R source code for running LDA with Bimeta
hoanglam-novobi/lead-lag
Estimation of the lead-lag parameter from non-synchronous data.
hoanglam-novobi/mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
hoanglam-novobi/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
hoanglam-novobi/neural_prophet
NeuralProphet: A simple forecasting package
hoanglam-novobi/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
hoanglam-novobi/nextDoor
Next Door neighbours Python implementation
hoanglam-novobi/OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
hoanglam-novobi/Pandas-Cookbook-Second-Edition
Pandas Cookbook Second Edition, published by Packt
hoanglam-novobi/pySaliencyMap
Python implementation of Itti's saliency map
hoanglam-novobi/ruptures
ruptures: change point detection in Python
hoanglam-novobi/saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
hoanglam-novobi/sql-to-pandas-example
Convert SQL query to Pandas API
hoanglam-novobi/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
hoanglam-novobi/TCPD
The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
hoanglam-novobi/TCPDBench
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
hoanglam-novobi/tensor_dataloader
DataLoader for PyTorch optimized for in-GPU-memory tensor datasets
hoanglam-novobi/web
Odoo web client UI related addons