Dataiku DSS plugin to train Generalized Linear Models
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Updated
Jul 31, 2024 - Python
Dataiku DSS plugin to train Generalized Linear Models
Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
MultiModal and Vision LM gradio chatbot. Running in huggingface Spaces.
This is a 3D viewer application that uses OpenGL and Python. Supports object control, Texture loading, lighting effects. It also supports hand and face recognition to control the position and zoom.
Reconstructed the OpenGL API engine in Python and implemented the pipeline to render 2D and 3D models in the engine.
A 3D Modeller made using Python and OpenGL
Reconstructed the OpenGL API engine in Python and implemented the pipeline to render 2D and 3D models in the engine.
ML algorithms implemented from scratch using numpy and built in functions in python
UX Analytics & A/B Testing
Generalized Additive Models in Python.
This project aims to build and compare four different models predicting the dropout rates in schools in New York state as well as to understand why models make a certain prediction (see PDF file with the memo for details)
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
RiskBERT is a significant step forward, making it easier than ever to incorporate text fragments into various applications, such as insurance frequency and severity models, or other GLM-based models. Feel free to explore and utilize RiskBERT for your text analysis needs.
Tropical cyclone intensity change forecast graphic aid
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