-
Georgia Tech
- Atlanta, Georgia
- http://varunagrawal.github.io
- @varagrawal
Highlights
Starred repositories
Models and examples built with TensorFlow
🏡 Open source home automation that puts local control and privacy first.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Streamlit — A faster way to build and share data apps.
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch Tutorial for Deep Learning Researchers
Python sample codes for robotics algorithms.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Turn (almost) any Python command line program into a full GUI application with one line
đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Datasets, Transforms and Models specific to Computer Vision
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
music library manager and MusicBrainz tagger
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Manipulate audio with a simple and easy high level interface
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Supervisor process control system for Unix (supervisord)
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Multi-user server for Jupyter notebooks
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Please post prob…
Audio fingerprinting and recognition in Python
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
Sequence modeling benchmarks and temporal convolutional networks