shaistaDev7's Stars
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
jxzhangjhu/Awesome-LLM-Prompt-Optimization
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
nomi217/Python_Package
arhamansari11/Unhallucinate-challenge-24-hours-fight
hallelx2/gemini-ai-hackathon
A Project Using Gemini APIs
OSAMAGHAFFARTKOJL/VideoTranscribHackathon
devraftel/aix
Create interactive quizzes dynamically with all type of Questions, and immediately get personalised feedback & adaptive learning path for each attempted question.
JohannesJolkkonen/funktio-ai-samples
Samples and demos for Funktio AI
streamlit/app-starter-kit
Streamlit App Starter Kit helps kick start your Streamlit app creation.
vectara/create-ui
Generate a working React codebase for a range of generative and semantic search UIs
vectara/example-notebooks
Jupyter notebooks with example code for Vectara
Arsh-10/langchain-guide
Welcome to the LangChain Guide! This repository serves as a comprehensive resource for anyone looking to dive into the world of LangChain, offering a step-by-step journey from understanding the basics to crafting impactful projects.
inamprograms/Food-complaint-resolution-app
Food delivery customer support app
A5jadAli/maths-assistant-phi-2-streamlit
This is a streamlit webapp that help kids to solve mathematical problems and the model used for it is phi-2.
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
BobXWu/TopMost
A Topic Modeling System Toolkit
BobXWu/Paper-Neural-Topic-Models
Papers of Neural Topic Models (NTMs)
usamakh20/wordEmbeddingsUrdu
samarh/urduvec
peermohtaram/Urdu-POS-Tagger
Part of Speech Tagger (POS) for Urdu Language with Hidden Markov Model (HMM) using Kneser-Ney Smoothing
ashishsalunkhe/Topic-Modeling-using-LDA-and-K-Means-Clustering
Project developed during internship at MITU Skillologies for summarizing news articles in the form of Topic Models.
berksudan/OTMISC-Topic-Modeling-Tool
We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.