Ankit Shah's Projects
ARM (Azure Resource Manager) templates for Microsoft Dynamics NAV
Official Microsoft repository for NavContainerHelper, a PowerShell module, which makes it easier to work with Nav Containers on Docker.
Create delightful python projects using Jupyter Notebooks
Code used while working on NELS project
NeMo: a toolkit for conversational AI
Code release for NeRF (Neural Radiance Fields)
A collaboration friendly studio for NeRFs
Network Programming Projects
Train an RL agent to localize actively (PyTorch)
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web
NeuralProphet: A simple forecasting package
A neural TurboSemanticParser as described in "Deep Multitask Learning for Semantic Dependency Parsing", Peng et al., ACL 2017.
This is a project involving learning sounds of different objects and evolve relationships between objects.
A Python toolbox for performing gradient-free optimization
Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR2021)
nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
videos, slides, and others from NIPS 2017
🤗 nlp: datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Natural Language Processing Best Practices & Examples
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
✍️ A carefully curated list of NLP paper summaries
Data augmentation for NLP
A Tutorial about Programming for Natural Language Processing