Explanatory Learning: Beyond Empiricism in Neural Networks

Last update: Dec 06, 2022

Related tags

Deep Learning explanatory-learning

Overview

Explanatory Learning

This is the official repository for "Explanatory Learning: Beyond Empiricism in Neural Networks".

Datasets

Download the datasets with the following links:

After downloading, move the datasets inside the directory data, located in the repository root folder.

Usage

Coming soon

Owner

GLADIA Research Group

GitHub Repository

ColossalAI-Benchmark - Performance benchmarking with ColossalAI

Benchmark for Tuning Accuracy and Efficiency Overview The benchmark includes our

31 Oct 07, 2022

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame

1.4k Jan 07, 2023

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Human Pose Estimation (accepted to CVPR2019) News If you are interested in internship or research pos

167 Dec 27, 2022

Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code

8 Sep 14, 2022

A really easy-to-use and powerful sudoku solver.

SodukuSolver This is a really useful sudoku solver with a Qt gui. USAGE Enter the numbers in and click "RUN"! If you don't want to wait, simply press

11 Jun 02, 2022

An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Implementation of the method described in the Speech Resynthesis from Di

253 Jan 06, 2023

Explanatory Learning: Beyond Empiricism in Neural Networks

Related tags

Overview

Explanatory Learning

Datasets

Usage

Owner

GLADIA Research Group

ColossalAI-Benchmark - Performance benchmarking with ColossalAI

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Deep High-Resolution Representation Learning for Human Pose Estimation

Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code

A really easy-to-use and powerful sudoku solver.

An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

PyTorch implementation of Weak-shot Fine-grained Classification via Similarity Transfer

Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID

PiRank: Learning to Rank via Differentiable Sorting

Dynamic Token Normalization Improves Vision Transformers

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

Learning a mapping from images to psychological similarity spaces with neural networks.

Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in ONNX

The ICS Chat System project for NYU Shanghai Fall 2021

An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

This repository contains source code for the Situated Interactive Language Grounding (SILG) benchmark

PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

Simple image captioning model - CLIP prefix captioning.

No-reference Image Quality Assessment(NIQA) Algorithms (BRISQUE, NIQE, PIQE, RankIQA, MetaIQA)