Name: Niranjan Anandkumar
Type: User
Company: Deceptive AI
Bio: Founder & CTO@Deceptive AI
Making AI Accessible
Full Stack Deep Learning , CV, NLP and MLOps |
Solution Architect |
Twitter: NiranjanHBP
Location: Bengaluru, India
Blog: https://www.linkedin.com/in/niranjanaryan/
Niranjan Anandkumar's Projects
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Implement SC-LSTM model for text generation in control of words, in Python/TensorFlow
a scaleable and efficient crawelr with docker cluster , crawl million pages in 2 hours with a single machine
scikit-learn: machine learning in Python
A general-purpose encoder-decoder framework for Tensorflow
Snips Python library to extract meaning from text
A social media app using Flutter, Dart, GetX, and REST API that allows users to share their photos and videos.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Streamlit — The fastest way to build custom ML tools
Tensorflow for nlp
A comprehensive reference for all topics related to building and maintaining microservices
TM_TEXT_DL_IN_NLP
A python wrapper for Barnes-Hut tsne
TVM integration into PyTorch
My work for Udacity courses
an open-source platform for developing protein models beyond AlphaFold.
Phrase-Based & Neural Unsupervised Machine Translation
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Machine Learning Conference & Summer School Notes. 🦄📝🎉
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
Visual Studio Code Electron to Tauri Conversion
Web Scrapping and Text Mining on Social Media Data (Twitter) in Fashion Industry
PyTorch original implementation of Cross-lingual Language Model Pretraining.
youtube-8m dataset for OpenSource Recommender Project For Research Conferences