ksjpswaroop Goto Github PK

followers: 17.0 following: 6.0 repos: 341.0 gists: 2.0

Name: Swaroop Kallakuri

Type: User

Company: Startup in Stealth mode

Location: Dallas, Tx

Creating a compelling README.md for your personal GitHub profile is a great way to showcase your skills and projects. Here's an enhanced template that includes repository statistics, visitor count, stars, and emphasizes your focus on AI:

# Hello, I'm [Your Name]! 👋

## About Me

- 🔭 I’m currently working on enhancing machine learning models for [specific application or project].
- 🌱 I’m currently learning advanced techniques in deep learning and reinforcement learning.
- 👯 I’m looking to collaborate on open-source AI projects, particularly those focused on [specific interests, e.g., natural language processing, computer vision].
- 🤔 I’m looking for help with [specific topic you need help with, e.g., optimizing neural networks].
- 💬 Ask me about anything AI-related, from algorithms to deployment.
- 📫 How to reach me: [your email or LinkedIn profile]
- 😄 Pronouns: [Your pronouns]
- ⚡ Fun fact: [interesting detail about you or your work]




## 📊 Weekly Development Breakdown

<!--START_SECTION:waka-->
```text
Python       5 hrs 20 mins   █████████████████▒░░░░░░░   69 % 
JavaScript   2 hrs           ██████▒░░░░░░░░░░░░░░░░░   26 % 
Other        20 mins         ▒░░░░░░░░░░░░░░░░░░░░░░░   5 %

🔥 My Stats

🏆 GitHub Trophies

📈 Contribution Graph

👀 Visitor Count

🌟 Highlighted Projects

AI Chatbot: An intelligent chatbot using GPT-3 for automating customer service.
Vision for Blind: A computer vision project to help visually impaired individuals navigate their environment.

Feel free to connect with me and discuss ways we can collaborate on innovative AI solutions!


### Explanation of Sections:

1. **About Me**: Briefly introduce yourself and your current work, learning goals, collaboration interests, and personal tidbits.
2. **My Stats**: Display your GitHub stats including total contributions, most used languages, etc. Services like `github-readme-stats` can be customized to reflect your personal style.
3. **Weekly Development Breakdown**: This section uses `WakaTime` to show what languages and projects you've been working on over the past week.
4. **GitHub Trophies**: Showcases achievements on GitHub using `github-profile-trophy`.
5. **Contribution Graph**: Visualizes your coding activity over time.
6. **Visitor Count**: Tracks how many people have visited your profile.
7. **Highlighted Projects**: Feature key projects that you want to draw attention to, especially those related to AI.

Each of these elements is designed to give visitors a comprehensive view of your skills and interests, especially in AI.

Swaroop Kallakuri's Projects

local_tgi

A set of scripts and files to help you run Hugging Face Text Generation Inference (TGI)

long-summarization

Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-a-probabilistic-perspective-solutions

My solutions to Kevin Murphy Machine Learning Book

machine-learning-data-mining-2016

Machine Learning and Data Mining course materials

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

mastermind

Binance Trading App built using Python's Tkinter

matplotlib

matplotlib: plotting with Python

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

mlalgorithms

Minimal and clean examples of machine learning algorithms

mlnd

models

A collection of pre-trained, state-of-the-art models in the ONNX format

movie_rating_prediction

Predict movie's IMDB rating

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

newschatbot

next-saas-custom-gpt-starter

next-word-prediction

Generative Pretrained Transformer 2 (GPT-2) for Language Modeling using the PyTorch-Transformers library.

nlp-exercises

nlpcomprehend

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

nobslanotebooks

Jupyter notebooks with exercises for the No bullshit guide to linear algebra.

notes-on-python-tricks-the-book

Notes I took while reading 'Python Tricks: The Book. A Buffet of Awesome Python Features'

nse-stock-scanner

National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

nyc_subway_rainy_days

In this project, I look at the NYC Subway data and figure out if more people ride the subway when it is raining versus when it is not raining. I wrangle the NYC subway data, use statistical methods and data visualization to draw a conclusion about the subway dataset.