ARKA1112

arka1112.github.io

course22

The fast.ai course notebooks

CPP_Primer_SelfWork

dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

FastAI_self

GenAI_Practices

A

GenAI_reply_bot

This repository contains the code for a Twitter bot that uses generative AI to generate tweets,It can be tagged so that it can generate an automated reply using LLM

ISLP_self

langchain

⚡ Building applications with LLMs through composability ⚡

Langchain_Advanced_Huggingface

We further experiment with langchain and other tools, build advanced apps using langchain. Also we will use hugginface to access loads of opensource and interesting LLMs

Langchain_streamlit

Langgraph_Tutorial_Series_self_2024

Consolidated tutorials on langgraph

LearnCPP_self_repo

This repo contains self practiced code as we go through the chapters of LearnCPP

mlops_workshop

In this workshop we will go through the main components of MLOPS in a procedural manner with hands-on labs

NLP_with_PyTorch_self

We upload the codes as we progress through the book ourselves.

NLP_with_Transformers_

Following the book, NLP with Transformers

OptiGuide

Large Language Models for Supply Chain Optimization

Py_QuickNotes

Handy quick reference notes for python.

Python_CookBook_Self

Codes from the Python CookBook, as we progress through the chapters

Python_DSA_Jovian

Python Data Structures and algorithms tutorials

Qiskit_summer_school2023

All things Qiskit Global Summer School 2023: Theory to Implementation - Lecture notes, Labs and Solutions

Quantum_Computing

Raschka_book

This is a self implemented code snippets from the Pytorch book.

SSH_COnn

Helper Files for IDC + Important resource for ssh connection

Stanford_NLP_Self

Going through the phenomenal Stanford NLP course and implementing the codes all by myself

Streamlit_yt_qa

Give the link of any YouTube video and get summarized, QA or JSON output about the information in the video

Time_Series_R

We create our own notes in jupyter notebook as we follow along the book fpp3. The language we used here is R

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Typescript_Practice

Weaviate_OpenAI

Working demo of weaviate and OpenAI