valeman's Projects
Hexagonal hierarchical geospatial indexing system
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
HAR-RV Model For Realized Volatility
Highly comparative time-series analysis code repository
Initial attempt to incorporate some time-series analysis features from hctsa into python land
A high performance implementation of HDBSCAN clustering.
A place to store ideas and resources.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
hse_ts_course
Hierarchical Time Series Forecasting using Prophet
The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines. Leading Data 2.0 http://activeloop.ai
Deep Q Networks
Distributed Asynchronous Hyperparameter Optimization in Python
A Python toolbox for gaining geometric insights into high-dimensional data
Infinite-horizon Gaussian processes
Python 3.6+ (only)
Python-based implementations of algorithms for learning on imbalanced data.
Imbalanced data Analysis in R combining different technyques.
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
Image augmentation for machine learning experiments.
Sandbox for training deep learning networks
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Impactstory: the next generation
Code for "Provably Improving Expert Predictions with Conformal Prediction" , arXiv:2201.12006