yash9439

4th Year CS Student @ IIIT H | Undergrad Researcher @ LTRC, IIIT H

IIIT HyderabadIIIT Hyderabad

Pinned Repositories

Algorithms-Collection
Personal Collection of Algorithms used in CP
Language:C++10
chat-with-multiple-pdf
This project allows you to engage in interactive conversations with your PDF documents using LangChain, ChromaDB, and OpenAI's API. With this powerful combination, you can extract valuable insights and information from your PDFs through dynamic chat-based interactions.
Language:Python54
Detectron-Layout-Parser
This code performs PDF layout analysis and optical character recognition (OCR) using the layoutparser library and Tesseract OCR Engine. It detects the layout of a PDF document and extracts text from specific regions. The code is divided into several sections, each serving a specific purpose.
Language:Python12 1 12
Falcon-Local-AI-Model
Explore this GitHub repository housing 3 versions of Falcon code for text generation. Each version leverages distinct libraries and models, enabling diverse approaches to generating textual responses. Discover the possibilities within!
Language:Python63
NLP-ProjectArchive
Contains Models for : Question Answering, Future Word Prediction, POS Tagging, Word Embedding, Analyising Twitter Scaped Data, Semantic Similarity
Language:Jupyter Notebook30
Qdrant-DeepsetHaystack-Llama3-QnA-ChatBot
Question-Answering ChatBot leveraging Qdrant for vector search, Deepset Haystack for NLP pipeline, and Llama3 for advanced language understanding.
Language:Jupyter Notebook2 1 00
Question-Answering-Model-BERT-BIDAF-BILSTM
Fine-tunned and Ensembled BERT + BIDAF + BiLSTM + Distil Bert each trained for the task of Question-Answering for the SQUAD v2.0 Dataset
Language:Jupyter Notebook20
RAG-with-Agents-llama3
AI-Powered PDF Query: LangChain ReAct agents with Qdrant and Groq's llama3 for intelligent document retrieval.
Language:Jupyter Notebook54
RayQdrantFastEmbed
Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray
Language:Jupyter Notebook5 1 10
Text-to-HandWritten
Language:Jupyter Notebook20

yash9439's Repositories

yash9439/Falcon-Local-AI-Model
Explore this GitHub repository housing 3 versions of Falcon code for text generation. Each version leverages distinct libraries and models, enabling diverse approaches to generating textual responses. Discover the possibilities within!
Language:Python63
yash9439/RAG-with-Agents-llama3
AI-Powered PDF Query: LangChain ReAct agents with Qdrant and Groq's llama3 for intelligent document retrieval.
Language:Jupyter Notebook54
yash9439/RayQdrantFastEmbed
Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray
Language:Jupyter Notebook5 1 10
yash9439/Qdrant-DeepsetHaystack-Llama3-QnA-ChatBot
Question-Answering ChatBot leveraging Qdrant for vector search, Deepset Haystack for NLP pipeline, and Llama3 for advanced language understanding.
Language:Jupyter Notebook2 1 00
yash9439/Text-to-HandWritten
Language:Jupyter Notebook20
yash9439/Code-Mixed-Machine-Translation
The project focuses on addressing the challenges of code-mixed machine translation, specifically from Hinglish to English.
12
yash9439/Fast-Local-Instruct-LLMs-Archive
Collection of Falcon_7B_H20 model, Falcon_7b_4bit_Quantization model, DataBrick_Dolly_v2_3B model, GPT_Medium model, Facebook_OPT_1.3B and Facebook_Open_Llama_3B model.
Language:Jupyter Notebook1
yash9439/GPT-Engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
11
yash9439/Reddit-Clone
I implemented the website's functionality using MongoDB, Express, React, and Node.js, and utilized various libraries and frameworks such as Redux, Bootstrap, and Axios. Chat Feature was integrated to chat between users on the platform.
Language:JavaScript1
yash9439/C-Shell-From-Scratch
Language:C
yash9439/Carnatic-Music-Latex-Annotator
Language:JavaScript
yash9439/Code-Demosser
Demoss any code written in .c and .cpp
Language:Python
yash9439/CPU-Scheduler
Language:C
yash9439/Distributed-File-System
NFS-System: Scalable Network File System Implementation with Dynamic Server Management and Fault Toleranc
Language:C
yash9439/DnA-Project
DNA course project
Language:Python
yash9439/Elmo-Representation-Pytorch
Implementation of the paper, "Deep contextualized word representations" - https://arxiv.org/abs/1802.05365v2
Language:Jupyter Notebook
yash9439/Flight-Management-System-DB
Language:Python
yash9439/Git-Command
yash9439/Implementation-of-Lion-Optimizer
Reimplementation and exploration of the Lion optimization method, as described in the original paper "Lion," and its comparative analysis with several widely-used optimization algorithms, including AdamW, Stochastic Gradient Descent (SGD) with momentum, Nesterov Accelerated Gradient (Nesterov AG), AdaGrad, and RMSProp.
Language:Jupyter Notebook
yash9439/lama-cleaner
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
yash9439/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
yash9439/MusicGame_Godot4
Language:GDScript
yash9439/NeuralNetArch-PyTorch
Implementation of the paper, "Attention Is All You Need" - https://arxiv.org/abs/1706.03762v7
Language:Python
yash9439/NFS_mock
yash9439/Prompt-Tuning-GPT2-Pytorch
Language:Jupyter Notebook
yash9439/QA-MobileBERT-Application
yash9439/Qdrant-GoogleCloud-RAGApplication
Using Qdrant, Fastembed, Google Cloud, OpenAI to build a Question Answer Cloud Based RAG System
Language:Jupyter Notebook
yash9439/Semantic-Segmentation-and-Analysis-of-Videos
YouTube-to-Text: Extract, transcribe, and semantically segment audio from YouTube videos.
Language:Jupyter Notebook
yash9439/XV6-Enhancement
Language:C
yash9439/yash9439
Welcome to my GitHub repository! This project showcases my passion for coding and my commitment to delivering high-quality solutions. Explore the code and discover the innovative features and functionalities implemented within.