edyeo's Stars
kilimchoi/engineering-blogs
A curated list of engineering blogs
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
mlflow/mlflow
Open source platform for the machine learning lifecycle
kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
ctgk/PRML
PRML algorithms implemented in Python
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
christophM/interpretable-ml-book
Book about interpretable machine learning
arXivTimes/arXivTimes
repository to research & share the machine learning articles
devongovett/regexgen
Generate regular expressions that match a set of strings
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
tradytics/surpriver
Find big moving stocks before they move using machine learning and anomaly detection
ndb796/Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
erykml/medium_articles
Scripts/Notebooks used for my articles published on Medium
dair-ai/nlp_newsletter
📰Natural language processing (NLP) newsletter
kimtth/azure-openai-llm-vector-langchain
"Awesome-LLM: a curated list of Azure OpenAI & Large Language Models" 🔎References to Azure OpenAI, 🦙Large Language Models, and related 🌌 services and 🎋libraries.
kafkakru/meetup
Kafka 한국 사용자 모임에서 운영하는 meetup repository
Diyago/ML-DL-scripts
The repository provides usefull python scripts for ML and data analysis
garystafford/tickit-data-lake-demo
Resources for video demonstrations and blog posts related to DataOps on AWS
yhs968/pyGRU4REC
PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)
kaelzhang/stock-pandas
🚀 The production-ready subclass of `pandas.DataFrame` to support stock statistics and indicators
dogukannulu/kafka_spark_structured_streaming
Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to Cassandra
chris-chris/mlops-example
Tensorflow 2.0 + Sacred + AI Platform + Microsoft NNI
jacobian/pinboard-to-sqlite
Save data from Pinboard to a SQLite database.
LevinJ/Supply-demand-forecasting
supply demmand gap prediction for ride-hailing
shiyu2011/cookstock
Mark Minervini's volatility contraction pattern detection, stage 2 template searching
cloneofsimo/clipping-CLIP-to-GAN
paullo0106/prophet_anomaly_detection
Time-series anomaly detection with Facebook Prophet library