valeman's Projects
List of Computer Science courses with video lectures.
Public facing notes page
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Mirror of CSSR: An Algorithm for Building Markov Models from Time Series
Conditional GAN for generating synthetic tabular data.
CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Forecasting Day-Ahead electricity prices in the German bidding zone with deep neural networks.
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Distributed ARIMA Models
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Convolutional Neural Networks
A python library for easy manipulation and forecasting of time series.
recurrent neural networks in Python Darts
time series forecasting with TCN and RNN neural networks in Darts
Coming soon
General Assembly's 2015 Data Science course in Washington, DC
Data and code behind the stories and interactives at FiveThirtyEight
Data Science Using Python
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Getting Started with Data Enngineering
Collection of useful data science topics along with code and articles
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.