Abhishek Yadav
abhishek351
Deep Learning, ML, LLM, Pytorch, NLP
Languages
Repos
73
Stars
32
Forks
12
Top Language
Python
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Top Repositories
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Document Summarization App using Language Model
Biceps Curl Counter python app based on Mediapipe's Human Pose Estimation architecture.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Financial Bot with Llama 2(quantized model) It quickly answers financial queries using the llama-2-7b-chat.ggmlv3.q4_0.bin model
Repositories
73No description provided.
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Document Summarization App using Language Model
No description provided.
Biceps Curl Counter python app based on Mediapipe's Human Pose Estimation architecture.
No description provided.
No description provided.
DSPy: The framework for programming—not prompting—language models
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
No description provided.
NLP Projects playlist
multimodal RAG pipeline for analyzing dog health
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Financial Bot with Llama 2(quantized model) It quickly answers financial queries using the llama-2-7b-chat.ggmlv3.q4_0.bin model
Pet AI Care project, a Django API for virtual veterinary consultations powered by the GPT (Generative Pre-trained Transformer) language model.
DBMS_SQL Notes
Notes of OOPS (in c++)
Sentiment Analysis Using Custom Dataset
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Code snapshots and materials for our "React - The Complete Guide" course (https://acad.link/reactjs)
A simple Gym website with Integrated chatbot
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About Perform sentiment analysis on reviews of android apps on Google Play-Store
This application is an AI-based solution built with Python and Streamlit. It utilizes various libraries like PyPDF2, dotenv, FAISS and OpenAI's GPT-4 to provide answers to user queries about the content in a PDF document. Users can upload a PDF document and ask questions related to the document.