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Name: Gowri Addepalli

Type: User

Company: New York University, Courant Institute of Mathematical Sciences.

Bio: Me(Today) += 0.01Me(Yesterday)

Location: New York

Blog: https://www.linkedin.com/in/sgaddep/

Hi there 👋 This is Sree Gowri Addepalli.

📫 I Graduated from MS in CS with Focus in ML from New York University's Courant Institute of Mathematical Sciences.
🤔 My current focus is Computer Vision, Natural Language Processing and Machine Learning Systems.
👯 I am a community builder and a program manager at Indian Women in Computing, a chapter associated with AnitaB.org. Focussed on building a stronger community for Women in AI.
💬 You can connect with me on Linkedin and Medium.
🌱 "I believe as the universe is infinite, their is space for everyone who are trying to carve their own niche".
⚡ Fun fact: "I have a twin sister LakshmiAdepalli and we spent whole of our lives (28 years) together attending all schools/workplaces straight from birth till masters, traversing states, countries and continents and a pandemic. She is my complementary in all aspects of life.
Languages and Frameworks:

Java, Python, C++ (basic), Scala (basic), Pytorch, Spark (basic), bash.
Interests: Computer Vision, NLP and Search/Recommendations, Engineering Impact driven AI/ML products.
Some of the problem statements that i worked in:
1. Self-supervision (Contrastive learning)
2. Weak-supervision
3. Object Detection and Segmentation (2D Computer Vision)
4. Neural Radiance Field (3D Computer Vision)
5. Vision Transformers

I'm best reached via email([email protected]). I'm always open to interesting conversations and collaboration.

Gowri Addepalli's Projects

complete-the-look-dataset

Public dataset for paper "Bootstrapping Complete The Look at Pinterest"

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cool-fashion-papers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

cs-interview-guide

A short guide on preparing for computer science interviews

cs224n-winter-2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n_spring_2017_assignment

My implementations of cs231n 2017

ctci_java

Programs from CTCI in java

curvenet

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-question-answer

A repo for data science related questions and answers

dataproducts

coursera developing data products

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.