Name: Vamshidhar Pandrapagada
Type: User
Company: Cisco
Bio: Machine learning enthusiast, Passionate about Predictive Analytics and Deep Learning.
An ardent fan of airplanes, the universe, and black holes.
Location: San Jose
Blog: https://www.linkedin.com/in/vamshidhar-p/
Vamshidhar Pandrapagada's Projects
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
Learning and Development projects on Artificial Intelligence
Tensorflow implementation of contextualized word representations from bi-directional language models
Deep Neural Networks Using Keras Lab
Repository for Coursera's Data Science Specialization Assignments
Deep Learning using Neural Networks
Repo for the Deep Learning Nanodegree Foundations program.
Codes for weekly challenges on Deep Learning by Siraj
This is a demo repository
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube
Oxford Deep NLP 2017 course
Machine Learning Algorithms: Implementation in R and Python
Natural Language Processing with TensorFlow, published by Packt
Files for Udemy Course on Algorithms and Data Structures
A very basic LSTM composer, doesn't compose any proper music for now
Workshop for showing code portability between sagemaker and EC2
This repository contains all the projects implemented while learning the skills and techniques used by Self-Driving car
A classifier for cat and dog images (Response to Siraj's challenge of the week)
TensorFlow Tutorial and Examples for beginners
Speed-dating match prediction based on Anna Montoya's Speed Dating Experiment Datasets
Udacity ML OPS Nanodegree Repo