Name: Niranjan Anandkumar
Type: User
Company: Deceptive AI
Bio: Engineer, Founder @ Deceptive AI |
AI Obsession , Research ⚙️ Product 🔱 AGI Tech |
AI for Masses | BreakingBarriers
Twitter: NiranjanAaryan
Location: Greater Bengaluru, India
Blog: https://deceptiveai.in/
Niranjan Anandkumar's Projects
Large, modern dataset for speech recognition
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.
Google Research
Presentations from H2O meetups & conferences by the H2O.ai team
This repository contains most of the HackerRank problems solutions with video explaination
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Human Video Generation Paper List
NCVPRIPG 2019 IDD : Semantic segmentation on IDD Lite Dataset
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Resources and tools for Indian language Natural Language Processing
EIP - Assignment and Working Documents
Instagram Clone App Using - Dart, Flutter, Firebase
Implementation codes of CVPR 2018 Oral paper "Revisiting Deep Intrinsic Image Decompositions"
Notebooks and code for the book "Introduction to Machine Learning with Python"
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
Interactive Parallel Computing in Python
Jupyter metapackage for installation, docs and chat
A PyTorch Library for Accelerating 3D Deep Learning Research
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Music generation with Keras and LSTM
Automated scripts to provision a Kubernetes cluster on the Azure cloud, based on Terraform and Ansible.
Shared repository for open-sourced projects from the Google AI Language team.
Corpus of Russian news articles collected from Lenta.Ru
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.