Pranjal Ghildiyal's repositories

RealTimeSeries

Real time streaming of a time series with corresponding forecasts.

Language:PythonLicense:MITStargazers:3Issues:1Issues:4

Regression-interactive

Visualizing Regression and the results with holoviz panel

Language:PythonLicense:MITStargazers:3Issues:0Issues:0

NLP-using-Markov-model

Using Markov chains to predict the next word in a sequence

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

Airflow

Experimenting with airflow

Language:PythonStargazers:0Issues:1Issues:0
Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Fault-Segmentation-on-Seismic-Data-Using-CNNs

Mapping fault planes using seismic images is a crucial and time-consuming step in hydrocarbon prospecting. Conventionally, this requires significant manual efforts that normally go through several iterations to optimize how the different fault planes connect with each other.​ Many techniques have been developed to automate this process, such as seismic coherence estimation, edge detection, and ant-tracking, to name a few. However, these techniques do not take advantage of the valuable experience accumulated by the interpreters. ​ Using CNNs, however, is a technique to automatically detect and map fault zones using 3D seismic images in a similar fashion to the way done by interpreters.​

Stargazers:0Issues:0Issues:0

Petrol-Prices-Prediction

The history of petrol prices can be used to prediction using LSTM, ARIMA, SARIMA and other autoregressive techniques.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Using-Colour-Detection-to-segment-Rocks-containing-hydrocarbon

Applying colour detection and masks to rock sections to detect the possible oil bearing formations, namely Vitrinite and liptinite.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

PranjalGhildiyal

Config files for my GitHub profile.

Stargazers:0Issues:0Issues:0