Soha Hussain's starred repositories
awesome-chatgpt
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
generative-ai-docs
Documentation for Google's Gen AI site - including the Gemini API and Gemma
AlphaCodium
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Search-Your-PDF-App
Search Your PDF App using Langchain, ChromaDB, Sentence Transformers, and LaMiNi LM Model. This app is completely powered by Open Source Models. No OpenAI key is required.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
NLP-Natural-Language-Processing
Projects and useful articles / links
Algorithms
Collection of algorithms in multiple programming languages.
PlacmentPrepGuide
Includes all the resources for Core CS fundamentals
DSA-Bootcamp-Java
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
The-Efficient-Entrepreneur
Complete AI-playbook for entrepreneurs. Follow this blueprint to create an AI-first business.
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Sentiment-Analysis-Twitter
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Building-a-Simple-Chatbot-in-Python-using-NLTK
Building a Simple Chatbot from Scratch in Python (using NLTK)
Sales-Prediction-of-Walmart-using-Machine-Learning
The purpose of this project is to develop a predictive model and find out the sales of each product at a given Walmart store.
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help