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langchain-autogpt-haiku-generator-streamlit-app

The LangChain AutoGPT Haiku Generator is a Streamlit application that utilizes the OpenAI API and GPT-3.5 large language model to generate haikus. It provides an interactive interface for users to input prompts and receive haiku titles and poems as output.

langchain-autogpt-recipe-generation-streamlit-app

Python streamlit application that uses LangChain and the ChatGPT language model from OpenAI to generate recipes based on a list of ingredients provided by the user.

langchain-autogpt-youtube-script-generation-streamlit-app

Python web app built on Streamlit, utilizing LangChain and the OpenAI API to automate YouTube title and script generation. The app offers a prompt-based interaction system, leveraging conversational memory and Wikipedia research. Resulting in a streamlined user interface to showcase outputs, history, and related Wikipedia research.

leetcode-algorithms-roadmap

Collection of Leetcode Solution inspired by this algorithm roadmap: https://neetcode.io/roadmap

leetcode-sql-50-solutions

midas-computer-vision-depth-estimation

This Python code uses the MiDaS model for real-time depth estimation on webcam video. MiDaS predicts the relative depth of objects in a scene, and the output is displayed using matplotlib. Bicubic interpolation is used to upsample the low-resolution depth map produced by the model. Output is then displayed in an interactive Streamlit web app.

mlb-analytics-pipeline

This Python project scrapes and cleans MLB data, using pivot tables to visualize scenarios such as home vs away or opponents. It models and visualizes statistical trends, including regression analysis and league leaders, for any specified statistic and scenario. Detailed analysis of individual and team performances is provided.

mlb-batting-heatmaps

Python Jupyter notebook that takes in 2018 MLB advanced media data, and then uses matplotlib to create heatmaps for all the balls put into play during the 2018 season. Largely utilizing pandas, numpy and matplotlib

mlb-moneyball-analytics

Collection of Jupyter Notebook EDAs and Visualizations of MLB data, largely inspired by the methods used in Moneyball., primarily regression analysis

nba-analytics-pipeline

Python ETL Pipeline that web-scrapes up-to-date NBA data from multiple sources, then statistically analyzes and visualizes into multiple team, player and league-wide reports.

nba-flask-applications

This repository contains multiple flask applications relating to NBA data (including injuries, standings, daily matchups).

nba-shooting-heatmaps

Python Jupyter notebook that takes in 2016-2017 NBA shooting data, and then plots that data onto basketball courts made in matplotlib, and then further analysis done through use of seaborne joint plots.

netflix-exploratory-data-analysis

Python Jupyter notebook reading in data for all Netflix content (as of July 2022) and creates data visualizations based on IMDB score, content type, genre, age certification, release year and runtime.

neurosynth-cognitive-fmri-analysis

In this Cognitive and Computational Neuroscience research project, I utilized neurosynth to further study the connection between multiple cognitive / behavioral patterns (Addiction, Anxiety), utilizing neurosynth I was able to write up the fMRI neueroanotmoical connection to such cogntive processes.

nfl-1st-and-future-2023-impact-detection

Python Jupyter Notebook that 1) Uses OpenCV to Plot Boxes and Label Collisions for Video Data, and 2) Uses Matplotlib to create an animation of Helmet Collisions

nfl-concussions-eda-and-predictive-modelling

Exploratory Data Analysis and Predictive Modelling for NFL Concussion Data from 2012 to 2014

nfl-data-etl-and-statistical-automization-

Continuing jupyter notebook that automates the collection of the latest NFL data and perform relevant analysis and visualizations based on the desired statistic.

nfl-passing-plots

Python Jupyter notebook that defines a function that returns an (x, y) coordinate scatter plot for TDs, INTs, completions and incompletions for any QB or QB comparison from 2017 to 2020.

nike-landing-page-react-clone

Web and mobile friendly interactive frontend built in React, inspired by the Nike Website landing page

openai-api-chat-bot-streamlit-web-app

Chatbot using the OpenAI API and Streamlit. Users can enter messages in a web interface, and the chatbot generates responses using the OpenAI language model. The conversation history is stored and displayed in a chat format.

openai-api-chatgpt-react-next-clone

ChatGPT inspired application utilizing React for the frontend and Express for the backend to communicate with the OpenAI API. Users can input messages, receive AI-generated responses, and view previous chat conversations.

openai-customizable-chat-bot-streamlit-app

Python Streamlit web app utilizing the OpenAI API GPT 3.5 Turbo language model. The app has a sidebar that allows the user to change and initiate new chate based on user defined settings such as language model, personality, context, and response temperature.

openai-dalle2-image-generation-streamlit-web-app

Python Streamlit web app utilizing the OpenAI API to communicate with the Dalle2 image generation model, based on user input.

openai-langchain-email-summarizer

Python script utilizing the OpenAI API and LangChain to summarize emails. User inputs email and subject, and function returns sender, role, tone, summary, and spam classification.

openai-langchain-movie-concept-and-dalle2-poster-generation-streamlit-web-app

Python Streamlit web app utilizing LangChain and the OpenAI API GPT 3.5 Turbo language model to generate example movie concepts based on the AI director(Spike Lee, Quentin Tarrentino, Wes Anderson) and user input, and then the DALLE2 image generation model to generate relevent movie poster.

openai-langchain-multi-pdf-chat-bot

Python Streamlit web app allowing the user to upload multiple files and then utilizing the OpenAI API GPT 3.5 Turbo language models, the user is able to have a conversation about the uploaded documents. The user is also allowed to specify the language model and the temperature of the model. Also presented with a drop down for PDF analytics.

openai-langchain-pandas-df-agent-query-streamlit-app

Python Streamlit web app allowing users to interact with their data from a CSV or XLSX file, utilizing OpenAI API and LangChain. It imports necessary libraries, handles API key loading, displays a user-friendly interface for file upload and data preview, creates a Pandas DF agent with OpenAI, and executes user queries.

openai-langchain-single-pdf-question-bot-streamlit-web-app

Streamlit web application utilizing Langchain and the OpenAI API, that allows users to upload a PDF file and ask questions about its content. It extracts the text from the PDF, splits it into smaller chunks, creates embeddings for the chunks, and builds a knowledge base.

openai-rick-and-morty-chatbot-jupyter-notebook

This Python script uses pandas to read a Rick and Morty script CSV. It generates AI responses using OpenAI's Completion API. Morty suggests adventures, cleaning the spaceship, planet choices, music preferences, and bringing Jessica. Rick's witty responses create a humorous and dynamic dialogue.

openai-serpapi-intelligent-google-search-results-chat-bot-streamlit-web-app

Python Streamlit web app that takes user input and allows users to chat intelligently with google search results utilizing the Serpapi google search API, OpenAI API and LangChain.