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Awesome Deep Learning Project Ideas

Awesome

A curated list of practical deep learning and machine learning project ideas

  • 30+ ideas
  • Relevant to both the academia and industry
  • Ranges from beginner friendly to research projects

Contents

  • Hackathon Ideas - Project ideas unlocked by use of Large Language Models, specially text to text -- note that a lot of the text to text ideas can also be buit a lot better with LLMs now!

  • Text - With some topics about Natural language processing

  • Forecasting - Most of the topics in this section is about Time Series and similar forecasting challenges

  • Recommendation Systems

  • Vision - With topics about image and video processing

  • Music and Audio - These topics are about combining ideas from language and audio to understand music

  • Conclusion

Hackathon Ideas

  • Developer Ideas

    • Text to cmd for terminal: Take user intent in terminal e.g.

      $ask "how to list all files with details"
> Execute "ls -l"? [y/N] y 
$ls -l

    • Build and edit YAMLs using natural language e.g. Kubernetes and other form of config files

      • Kor for ideas on how this is done for JSON
      • Can be use-case specific. Build pipelines? Kube?

    • Mobile Android/iOS SDK for Stable Diffusion inference

  • Voice powered Experiences

    • Audio Conversation with chatGPT, can combine with fast Text-to-Speech e.g. Eleven Labs to have a two-way conversation
    • Telegram/WhatsApp bot to get audio and save as text with metadata into mem.ai or Roam Research or Obsidian

  • Edit image by giving instructions of what you want to do: SeeChatGPT and playgroundai.com as examples

  • Semantic search over any media

  • Text to Music Generation

  • Knowledge Base QA aka Answer Engines

    • Take any plaintext dataset e.g. State of the Union address and build on top of that image
    • Can use this over Video Subtitles to search and QA over videos as well, by mapping back to source

  • Guided Summarisation/Rewriting

    • Take specific questions which the user might have about a large text dataset e.g. a novel or book and include that in your summary of the piece
    • Pay attention to specific entities and retell the events which happen in a story with attention to that character

  • ControlNet + Stable Diffusion for Aethetic Control

    • Build tooling using diffusers which takes in a set of photos, finetunes a model (LoRA) on a person, detects face and moves it to a new aesthetic e.g. futuristic neon punk, grunge rock, Studio Ghibli. Can also add InstructPix2Pix to give user more control.

  • Text to Code/SQL

    • Use code understanding to convert use query to SQL or another executable programming language, including Domain Specific Languages
    • Here is an example of the same: qabot

Text

Natural Language Understanding

  • Sentence to Sentence semantic similarity

    • Can you identify question pairs that have the same intent or meaning?
    • Dataset: Quora question pairs with similar questions marked

  • Fight online abuse

  • Open Domain question answering

  • Automatic text summarization

    • Can you create a summary with the major points of the original document?
    • Abstractive (write your own summary) and Extractive (select pieces of text from original) are two popular approaches
    • Dataset: CNN and DailyMail News Pieces by Google DeepMind

  • Copy-cat Bot

Check mlm/blog for some hints.

Forecasting

  • Univariate Time Series Forecasting

  • Multi-variate Time Series Forecasting

    • How polluted will your town's air be? Pollution Level Forecasting
    • Dataset: Air Quality dataset

  • Demand/load forecasting

  • Predict Blood Donation

    • We're interested in predicting if a blood donor will donate within a given time window.
    • More on the problem statement at Driven Data.
    • Dataset: UCI ML Datasets Repo

Recommendation systems

  • Movie Recommender

    • Can you predict the rating a user will give on a movie?
    • Do this using the movies that user has rated in the past, as well as the ratings similar users have given similar movies.
    • Dataset: Netflix Prize and MovieLens Datasets

  • Search + Recommendation System

    • Predict which Xbox game a visitor will be most interested in based on their search query
    • Dataset: BestBuy

  • Can you predict Influencers in the Social Network?

    • How can you predict social influencers?
    • Dataset: PeerIndex

Vision

  • Image classification

  • Bone X-Ray competition

    • Can you identify if a hand is broken from a X-ray radiographs automatically with better than human performance?
    • Stanford's Bone XRay Deep Learning Competition with MURA Dataset

  • Image Captioning

    • Can you caption/explain the photo a way human would?
    • Dataset: MS COCO

  • Image Segmentation/Object Detection

  • Large-Scale Video Understanding

    • Can you produce the best video tag predictions?
    • Dataset: YouTube 8M

  • Video Summarization

  • Style Transfer

    • Can you recompose images in the style of other images?
    • Dataset: fzliu on GitHub shared target and source images with results

  • Chest XRay

    • Can you detect if someone is sick from their chest XRay? Or guess their radiology report?
    • Dataset: MIMIC-CXR at Physionet

  • Clinical Diagnostics: Image Identification, classification & segmentation

    • Can you help build an open source software for lung cancer detection to help radiologists?
    • Link: Concept to clinic challenge on DrivenData

  • Satellite Imagery Processing for Socioeconomic Analysis

    • Can you estimate the standard of living or energy consumption of a place from night time satellite imagery?
    • Reference for Project details: Stanford Poverty Estimation Project

  • Satellite Imagery Processing for Automated Tagging

    • Can you automatically tag satellite images with human features such as buildings, roads, waterways and so on?
    • Help free the manual effort in tagging satellite imagery: Kaggle Dataset by DSTL, UK

Music

  • Music/Audio Recommendation Systems

  • Music Genre recognition using neural networks

    • Can you identify the musical genre using their spectrograms or other sound information?
    • Datasets: FMA or GTZAN on Keras
    • Get started with Librosa for feature extraction

FAQ

  • Can I use the ideas here for my thesis? Yes, totally! I'd love to know how it went.

  • Do you have any advice before I start my project? Advice for Short Term Machine Learning Projects by Tim R. is a pretty good starting point!

  • How can I add my ideas here? Just send a pull request and we'll discuss?

  • Hey, something is wrong here! Yikes, I am sorry. Please tell me by raising a GitHub issue.

    I'll fix it as soon as possible.

Acknowledgements

Problems are motivated by the ones shared at:

Credit

Built with lots of keyboard smashing and copy-pasta love by NirantK. Find me on Twitter!

License

This repository is licensed under the MIT License. Please see the LICENSE file for more details.