adagrad

Optimization_Algorthims

Deep_Learning_CS535_Winter-2019

online-sequential-optimization

Course from O. Wintenberger for Master M2A at Sorbonne University : Online Convex Optimization

Optimization

This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)

ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD

Deep Learning Optimizers

DeepGenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

Optimization

Package used for mathematical optimization.

Linear-Machine-Learning-Algorithms

Implementation of Perceptron, Winnow and Adagrad-Perceptron, along with their averaged versions on synthetic and real world datasets

Classifying-Tweet-Sentiments

Classifying sentiments of tweets as positive or negative

SimpleMNIST

Experimenting with MNIST using the MXNet machine learning framework

optim

A repo that contains source code for my blog "Deep Learning Optimizers: A Comprehensive Guide for Beginners (2024)": https://medium.com/@shrirangmahajan123/optimizers-a-simple-beginners-guide-8ab6942880dd

social_media_toxicity_Analysis

Detect and classify toxic behavior in social media comments using a bidirectional LSTM-based neural network. Achieved precision of 0.932 and recall of 0.733. Applications include customer service, reputation management, and market research. Real-time predictions available via a Gradio app. Future scope includes multi-lingual sentiment analysis.

Data-Structures-Algorithms-and-Machine-Learning-Optimization

Data Structures, Algorithms and Machine Learning Optimization

regression

This repository contains a Python implementation of linear regression, logistic regression, and ridge regression algorithms. These algorithms are commonly used in machine learning and statistical modeling for various tasks such as predicting numerical values, classifying data into categories, and handling multicollinearity in regression models.

Diabetes-EyeDisease-Detection-ML-DL

💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.

ML-Classification-Optimization-Project

Digit MNIST optimization classification project, our goal is to minimize the loss function using several optimizers

OptimizerDemo

Some demo optimizers implemented with pytorch, including SGD, SGDM, AdaGrad, RMSProp, Adam.

Dimag

Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.

Playing-With-Optimizers-in-DL

Using different optimizers for a comparison study, finding the root of differences by visualization and to find the best case for a specific task

Numerical_Optimization-Algorithms

Build from scratch different numerical optimization algorithms using python

Gradient_Descent_Variations

Implementations of Gradient Descent Variations as a Proof of Concept.

Numerical-Optimization-For-Data-Science

Implement numerical optimization algorithms for data science.

ml_algo_numpy

Machine learning algorithm implemented from scratch in python

MachineLearning-

Contains my custom implementation of various machine learning models and analysis.

Deep-Learning

Objective here is to explore the concepts of deep learning and implementing it from scratch in a structured way.

AML_Assignments

Advance Machine Learning (CSL 712) Course Lab Assignments

RSEND-Robotic_Inference

Designed a robotic system using inference. Created a project idea, collected data set for classification, and justified network design choices based on technical analysis of accuracy and speed on the target system.

Convex_Optimization

Convex Optimization Algorithms