Preetish Pallerla's repositories
DataScience
Codes for various competitions participated in data science
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
coffeelover12111997.github.io
Personal Website
nlpstuff
trying to implement various nlp related projects
opensoft17
Open Soft 2017
Sai-dl_winter_assignment
repository for winter assn of Saidl
SOH-Project
A topic based approach to correlate happiness with Emotional Intelligence
tf-pytorch
practice in tf
cyoptics-clustering
Fast OPTICS clustering in Cython + gradient cluster extraction
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
deeplearning.ai_notes
notes of deep learning.ai by tess Ferrandez.
Distilling-the-knowledge-in-neural-network
Teaches a student network from the knowledge obtained via training of a larger teacher network
google-interview-university
A complete daily plan for studying to become a Google software engineer.
IPLabece
codes for assignments of IP lab
Karna
ML/DL meeting group at IIT Kharagpur
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.