Aafreen2603's Stars
alfredodeza/llmops-duke-aipi
Official curricula for the LLMOPs course at Duke University
Aafreen2603/Sentiment-analysis-depression-detection
vineethm1627/OOP
Links and resources for strengthening the concepts of Object Oriented Programming [Java and C++]
Aafreen2603/my-spotify-analysis
Exploratory Data Analysis Project
Ayushidhiman18/HR_Analytics_Dashboard_using_POWERBI
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
madhukarkumar/pdf-reader-with-openai
A python Notebook demonstrating how to ask questions to PDF documents and books
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
prathimacode-hub/ML-ProjectKart
🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
leon-ai/leon
🧠 Leon is your open-source personal assistant.
ggerganov/whisper.cpp
Port of OpenAI's Whisper model in C/C++
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
salihtutun/Financing-Machine-Learning
This is collecting files for explaining RL for financing.
salihtutun/Deep_Learning_of_Hackers
salihtutun/leetcode
Python & JAVA Solutions for Leetcode
LeeGorden/Mental-Disorder-Diagnosis_Multi-Branches
As applications of ML algorithms in real life become increasingly common, ethical issues of AI solutions emerge especially in a sensitive human-related field such as the medical care industry. To answer the need for ML models or methods with high interpretability in field of mental health, the responsible AI framework proposed innovatively integrates visualization algorithms t-SNE, convolution neural networks and explainable AI to evaluate predictions of mental disorders based on images generated and provide a corresponding explanation of why the Blackbox model makes such decisions. The output of the framework proposed are images demonstrated to be in both high accuracy and high interpretability in field experiments with accuracy higher than 90% by prediction based on bare human eyes. More importantly, the images generated under the responsible framework enable experts in the field of mental health to diagnose mental disorders even if they do not know ML algorithms.
AryanNayak/Muse
An AI Mental Health Chatbot
mmz-001/knowledge_gpt
Accurate answers and instant citations for your documents.
mandliya/algorithms_and_data_structures
180+ Algorithm & Data Structure Problems using C++
AkashSingh3031/The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
seanprashad/leetcode-patterns
A pattern-based approach for learning technical interview questions
carla-simulator/carla
Open-source simulator for autonomous driving research.
Tisha-Kalra/Smart-Security-Intruder-Detection-Camera