Karmugilan Jayachandiran's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
SQL-Interview-Prep-Question
This repository is for everyone who is preparing for Data Scientist/Data Analyst position interviews. It includes frequently asked SQL coding questions with answers.
SQL
sql related stuff, interview questions, mySQL complex queries
Tensorflow-in-Practice-Specialization
Tensorflow-in-Practice-Specialization
data-science-interviews
Data science interview questions and answers
tensorflow-nlp
Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x
Project-Euler-answers-in-python
For beginners in Python who needs solution for project Euler archive questions, I have answered here.
Python
All Algorithms implemented in Python
pytorch-gans
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Deep-Learning
Course: Deep Learning
ppscore
Predictive Power Score (PPS) in Python
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
wtfml
WTFML: Well That's Fantastic Machine Learning
lda
Topic modeling with latent Dirichlet allocation using Gibbs sampling
awesome-courses
:books: List of awesome university courses for learning Computer Science!
bigartm
Fast topic modeling platform
flask-api
Browsable web APIs for Flask.
lstm_autoencoder_classifier
An LSTM Autoencoder for rare event classification
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
LearnDataScience
Open Content for self-directed learning in data science
rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.