valeman Goto Github PK

cs-video-courses

List of Computer Science courses with video lectures.

cs231n.github.io

Public facing notes page

csdi

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

cssr

Mirror of CSSR: An Algorithm for Building Markov Models from Time Series

ctgan

Conditional GAN for generating synthetic tabular data.

ctv-anomalydetection

CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒

cusboost

customxgboost

XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

da-electricity-price-forecasting

Forecasting Day-Ahead electricity prices in the German bidding zone with deep neural networks.

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

da-rnn-1

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

darima

Distributed ARIMA Models

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Convolutional Neural Networks

darknet.keras

darts

A python library for easy manipulation and forecasting of time series.

darts_rnn

recurrent neural networks in Python Darts

darts_tcn_rnn

time series forecasting with TCN and RNN neural networks in Darts

dask-polars

Coming soon

dat8

General Assembly's 2015 Data Science course in Washington, DC

data

Data and code behind the stories and interactives at FiveThirtyEight

data-analysis

Data Science Using Python

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-engineering

Getting Started with Data Enngineering

data-science

Collection of useful data science topics along with code and articles

data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-science-ipython-notebooks

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.

data-science-project-template