A python package for generating analytical dashboards
This package makes it convenient to quickly deploy a dashboard web app that explains the workings of a (scikit-learn compatible) machine learning model.
Towards Fast Adaptation of Neural Architectures with Meta Learning
PyTorch implementation of ICLR2020 paper 'Towards Fast Adaptation of Neural Architectures with Meta Learning'
An environment of the board game Go using OpenAI's Gym API
An environment for the board game Go. It is implemented using OpenAI's Gym API.
An end-to-end speech processing toolkit
ESPnet is an end-to-end speech processing toolkit, mainly focuses on end-to-end speech recognition and end-to-end text-to-speech.
Super fast and lightweight anchor-free object detection model
Super fast and lightweight anchor-free object detection model. Real-time on mobile devices.
Randomness testing for humans
coinflip aims to implement the tests recommended by NIST SP800-22 to check random number generators for randomness.
Pseudo-3D shooter written completely in gawk using raycasting technique
Bring some old-school fun to your terminal! Explore the dungeon and shoot monsters in this pseudo-3D game inspired by the classic Wolfenstein 3D and Doom.
A GUI based tool in Python for analysing and designing discrete time filters
pyFDA is a GUI based tool in Python / Qt for analysing and designing discrete time filters.
A lightweight module for Multi-Task Learning in pytorch
A lightweight module for Multi-Task Learning in pytorch.
Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
This is the repo for Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources,
Adversarial training and data augmentation for neural question-answering models
KitanaQA: Adversarial training and data augmentation for neural question-answering models.
Functional Optimization of Fluidic Devices with Differentiable Stokes Flow
Code for the Siggraph Asia 2020 submission.
A large medical text dataset curated for abbreviation disambiguation
Repository for Medical Dataset for Abbreviation Disambiguation for Natural Language Understanding (MeDAL)
Deep Neural Network with Gradual Input
This repository contains scripts for training different variations of the SpinalNet and its counterparts.
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
The source code of our work "Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.
An R package to read, write, create and explore chess games
{chess} is an opinionated wrapper for R around python-chess, an amazing library created by Niklas Fiekas.
A single-stage detector for face detection with faster speed and higher accuracy
DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy.
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. (Oral)
A set of tools for generating photorealistic synthetic datasets from V-Ray scenes
The Hypersim Toolkit is a set of tools for generating photorealistic synthetic datasets from V-Ray scenes.
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data, EMNLP2020.