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Pankaj Singh's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

autograd icon autograd

Efficiently computes derivatives of numpy code.

cuda-convnet2 icon cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

deeplearningpython icon deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

lme4 icon lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

manim icon manim

A community-maintained Python framework for creating mathematical animations.

medllmspracticalguide icon medllmspracticalguide

A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

mimic-code icon mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

mixture icon mixture

:exclamation: This is a read-only mirror of the CRAN R package repository. mixture — Mixture Models for Clustering and Classification

patient-triaging-with-quantum-ml icon patient-triaging-with-quantum-ml

This quantum computing-based solution helps in categorization of patients for emergency assessment and priority treatment within healthcare emergency department.

pgmm icon pgmm

:exclamation: This is a read-only mirror of the CRAN R package repository. pgmm — Parsimonious Gaussian Mixture Models

pyprobml icon pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

system-design icon system-design

Learn how to design systems at scale and prepare for system design interviews

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