Shubham Jain's repositories
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
Competitions
Competition repository
kaggle2017
Code, notes, etc of completed Kaggle competitions
Multi-Label-Classification
code for my article on multi-label classification. https://www.analyticsvidhya.com/blog/2017/08/introduction-to-multi-label-classification/
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Classification-pipeline-torch
Deep learning based implementation for classification task
DataHack-Premier-League
https://datahack.analyticsvidhya.com/contest/datahack-premier-league/
DataHackSummit2017
Content for Ensemble Learning session
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
mlens
ML-Ensemble – high performance ensemble learning
practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
practical_mlops
Test the best practices of MLOPS from the Practical MLOps book by Noah
pyensembler
Take any number of Machine Learning Models as Base Models and one Machine Learning Model as Top model to produce an ensemble of models in Python.
semisup-learn
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
tensorflowmodel
Hosting a local model
TOPSIS-Python
Source code for TOPSIS optimization algorithm in python