Tejasw Gupta's starred repositories
revanced-manager
💊 Application to use ReVanced on Android
MindSearch
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Stirling-PDF
#1 Locally hosted web application that allows you to perform various operations on PDF files
RAGatouille
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
awesome-captcha
:key: Curated list of awesome captcha libraries and crack tools.
FlagEmbedding
Retrieval and Retrieval-augmented LLMs
whisper-asr-webservice
OpenAI Whisper ASR Webservice API
khoj
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
ProPainter
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
cheque-easy
Simplifying cheque processing for banks using Transformers
Reinforcement_Learning_for_Stock_Prediction
Repository for using reinforcement learning on real stock market data(historic)
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
machine_learning_security
Source code about machine learning and security.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.