Atendra Kumar's repositories
Sentiment-Analysis
Sentiment Analysis using different techniques in Python | Text Analytics
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
leetcode_solutions
Collection of LeetCode questions
Topic-Modelling
Topic Modelling in Python | Text Analytics
Data-Science--Cheat-Sheet
Cheat Sheets
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
H-M-Recommendation-Sytem
H&M Recommendation System Case Studies
h2o-meetups
Presentations from H2O meetups & conferences by the H2O.ai team
Learn_Computer_Science_in_5_Months
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
learning_ml
I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.
librec
LibRec: A Leading Java Library for Recommender Systems, see
LordOftheMachines
Codes related to Lord of the Machines hackathon
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
nlp_course
YSDA course in Natural Language Processing
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
practicalAI
📚 A practical approach to machine learning.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification
shap
A unified approach to explain the output of any machine learning model
skorch
A scikit-learn compatible neural network library that wraps pytorch
turicreate
Turi Create simplifies the development of custom machine learning models.