mafrasiabi

-Introduction-to-Bayesian-Analysis-in-Python

Introduction to Bayesian Analysis in Python, published by Packt

active-qa

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

Ask-Me-Question-Generating-Agent

Ask Me: Question Generating Agent

Automatic-Question-Answer-Generation

A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to deal with simple and complex sentences" by Das et.al

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-bayes

List of resources for bayesian inference

awesome-computational-neuroscience

A list of schools and researchers in computational neuroscience

awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

awesome-qa

😎 A curated list of the Question Answering (QA)

mafrasiabi/awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

mafrasiabi/batchglm

Fit generalized linear models in python.

mafrasiabi/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

mafrasiabi/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

mafrasiabi/DeepInsight

A general framework for interpreting wide-band neural activity

mafrasiabi/DL-EEG

mafrasiabi/ecog2txt

code for decoding speech as text from neural data

mafrasiabi/framingham-glm

Analysis of data from the Framingham Heart Study using generalized linear models.

mafrasiabi/jPCA

jPCA for Neural Data Analysis in Python

mafrasiabi/jupyter

Jupyter metapackage for installation, docs and chat

mafrasiabi/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mafrasiabi/LM_LMM_GLM_GLMM

mafrasiabi/MT-Plugin

mafrasiabi/mvpy

Implementations of statistical models in python with an emphasis on multivariate models.

mafrasiabi/neural-question-gen

CS224n project

mafrasiabi/neural-question-generation

Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

mafrasiabi/NeuralNetworkPointProcess

code for "Fully Neural Network based Model for General Temporal Point Processes"

mafrasiabi/neurodsp

Digital signal processing for neural time series.

mafrasiabi/neuroGLM

Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).

mafrasiabi/neuropredict

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

mafrasiabi/ollama-webui

ChatGPT-Style Web UI Client for Ollama 🦙

mafrasiabi/pyFLGLM

mafrasiabi/pytf

Python tool for time frequency analysis.

mafrasiabi/PythonForDataAnalysisAtPNI

Course website for Python for Data Analysis at PNI for PNI summer students.

mafrasiabi/pytorch-Deep-Learning

Deep Learning (with PyTorch)

mafrasiabi/QG-Net

code for QG-Net: A Data-Driven Question Generation Model for Educational Content

mafrasiabi/RAG_Experiments

mafrasiabi/rsa

Representational Similarity Analysis with MNE-Python

mafrasiabi/socialsim_package

mafrasiabi/text-generation-inference

Large Language Model Text Generation Inference