Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Perfect-Roadmap-To-Learn-Data-Science-In-2024 from krishnaik06

The-Grand-Complete-Data-Science-Materials from krishnaik06

Up-to-date version of labs for ISLP

Roadmap-To-Learn-Generative-AI-In-2024 from krishnaik06

Build a Large Language Model (From Scratch) book and Finetuned Models

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

The ultimate training toolkit for finetuning diffusion models

ArXiv.org - Predict the Probability of an Article Being Published in a Peer-Reviewed Journal

This project aims to analyze the citation network of arXiv papers. We use Python to clean the data and create a Neo4j network to visualize and analyze the citation relationships between arXiv papers.

Visualize arxiv papers references and citations

Top ML papers published daily in arXiv

explore available data with descriptive statistics and exploratory visualization

A set of scripts to grab public datasets from resources related to arXiv

Research Paper Recommendation System

Web interface to search ArXiv papers using NLP Sentence-Transformers, Faiss and Streamlit

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents