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handcalcslatex

Python library for converting Python calculations into rendered latex.

handson-ml2-code

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.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

kernels-ammi-2022

course followed at AMMI2022

kernels-ammi-past

language_detection

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm-ood

logistic-regression-with-mini-batch-gradient-descent

A vectorized implementation of logistic regression with mini batches. The data parsing implemented in this notebook is for datasets from UCI Machine learning repository, and the datasets should be binary. The parsing part can be changed accordingly for any type of binary classification task.

machine-learning-articles1

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

metaod

Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlfromscratch

Machine Learning algorithm implementations from scratch.

ml_nlpfromscratch

Practice NLP with code

mosesdecoder

Moses, the machine translation system

natural-language-processing-specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

navier-stokes-numerical-solution-using-fdm-fvm-lbm-solver-python-scripting

Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

neural-networks-and-optimizers-from-scratch

Neural Networks and optimizers from scratch in NumPy, featuring newer optimizers such as DemonAdam or QHAdam.

nlpstup

Assignments from NLP class. Python.

nlp_labs

non-parametric-transformers

Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

npt-ad

Code for "Beyond Individual Input for Deep Anomaly Detection on Tabular Data"

numericalmethods

This repository is created to share the source codes of the numerical methods course with students. You can use, modify or share all the source codes here.

numericalmethods-unipune

MATLAB Codes Developed During Numerical Methods and Optimisation Course (302047 -2012)

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

optimisation-matlab

Mini-Projet Optimisation Continue - Semestre 7

osmucam-scripts

perceptron

This repository is about Perceptron