praveen gadiyaram's starred repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
approachingalmost
Approaching (Almost) Any Machine Learning Problem
data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Transformers-VQA
An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER
gaussianlda
Gaussian LDA training implemented in Python
fake_news_detection
Training a neural network model from small size of high quality labeled dataset for fake news detection
mt5_lang-classification
Fine-Tuning the Multilingual Text-To-Text Transfer Transformer (mT5) on XNLI for Language Classification.
Machine-Learning-101
Machine Learning 101
Activityrecognition_GaussianLDA
Gaussian Latent Dirichlet Allocation
Antlr_Java_Repository_Miner
Mining Software Repositories Project to analyze Java projects to extract information regarding the evolution of antlr4 patterns
Self-Driving-Vehicle
The interface of the autonomous car with the surroundings must be similar to that of human way of interaction. Humans use their eyes as a source of vision and then processes the visual signals in his/her brain and takes the necessary action accordingly. Similarly the autonomous car uses a camera as a visual source to know its surrounding, path etc. and uses the image processing techniques on the images received from the camera. This processing takes place on a minicomputer (RASPBERRY PI). After image processing, control instructions are passed on to the driving motors which helps in steering the vehicle accordingly.
Product-Search-using-Web-Scraping-Scrapy
Search for specific product details from website using scrapy
applied-ML
I'm reading the book "Approaching (almost) any Machine Learning Problem" and this repository contains all the exercises and learnings coming from the book
deeplearning_practice
The purpose of this repository to keep track of my learnings from the Udemy course: https://www.udemy.com/share/101WmQBUEedllRQHo=/
docker_basics
This repository details docker working and basic commands needed for a project
gaussianlda
Gaussian LDA training implemented in Python
git_cheatsheet
Cheat-sheet containing all basic Git commands
hackerrank_submissions
My accepted hackerrank submissions
kaggle_submissions
This repository contains all submissions and learnings from Kaggle competitions
LearningPython
Basics of Python from youtube -- corey schafer
leetcode_submissions
My accepted leetcode submissions
nlp_practice
This repository holds all the work related to Natural Language Processing work on nltk, spacey