Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]
Prerequisites:
Python3
Matplotlib
Numpy
Itertools
cvxpy
Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]
Overview
Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets.
Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets. Introduction We propose our dataloader API for loading and
1 Nov 19, 2021
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
GAM ⠀⠀ A PyTorch implementation of Graph Classification Using Structural Attention (KDD 2018). Abstract Graph classification is a problem with practic
259 Dec 05, 2022
Code for EMNLP2021 paper "Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training"
VoCapXLM Code for EMNLP2021 paper Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training Environment DockerFile: dancingso
15 Jul 28, 2022
A Closer Look at Reference Learning for Fourier Phase Retrieval
A Closer Look at Reference Learning for Fourier Phase Retrieval This repository contains code for our NeurIPS 2021 Workshop on Deep Learning and Inver
1 Oct 28, 2021
Bolt Online Learning Toolbox
Bolt Online Learning Toolbox Bolt features discriminative learning of linear predictors (e.g. SVM or Logistic Regression) using fast online learning a
87 Dec 12, 2022
Unicorn can be used for performance analyses of highly configurable systems with causal reasoning
Unicorn can be used for performance analyses of highly configurable systems with causal reasoning. Users or developers can query Unicorn for a performance task.
27 Jan 05, 2023
Multi-Glimpse Network With Python
Multi-Glimpse Network Our code requires Python ≥ 3.8 Installation For example, venv + pip: $ python3 -m venv env $ source env/bin/activate (env) $ pyt
9 May 10, 2022
Deep Learning Emotion decoding using EEG data from Autism individuals
Deep Learning Emotion decoding using EEG data from Autism individuals This repository includes the python and matlab codes using for processing EEG 2D
12 Dec 08, 2022
Facebook AI Image Similarity Challenge: Descriptor Track
Facebook AI Image Similarity Challenge: Descriptor Track This repository contains the code for our solution to the Facebook AI Image Similarity Challe
17 Dec 14, 2022
Sequence-to-Sequence learning using PyTorch
Seq2Seq in PyTorch This is a complete suite for training sequence-to-sequence models in PyTorch. It consists of several models and code to both train
514 Nov 17, 2022
UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering
UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering This repository holds all the code and data for our recent work on
118 Dec 06, 2022
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators [Project Website] [Replicate.ai Project] StyleGAN-NADA: CLIP-Guided Domain Adaptation
992 Dec 30, 2022
Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
Second-order Neural ODE Optimizer (NeurIPS 2021 Spotlight) [arXiv] ✔️ faster convergence in wall-clock time | ✔️ O(1) memory cost | ✔️ better test-tim
39 Oct 22, 2022
Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)
On the Generative Utility of Cyclic Conditionals This repository is the official implementation of "On the Generative Utility of Cyclic Conditionals"
44 Nov 16, 2022
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.
VAENAR-TTS This repo contains code accompanying the paper "VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis". Sa
138 Oct 28, 2022
[WWW 2022] Zero-Shot Stance Detection via Contrastive Learning
PT-HCL for Zero-Shot Stance Detection The code of this repository is constantly being updated... Please look forward to it! Introduction This reposito
12 Dec 21, 2022
CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)
CrossNorm (CN) and SelfNorm (SN) (Accepted at ICCV 2021) This is the official PyTorch implementation of our CNSN paper, in which we propose CrossNorm
100 Dec 28, 2022
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe
93 Dec 15, 2022
STBP is a way to train SNN with datasets by Backward propagation.
Spiking neural network (SNN), compared with depth neural network (DNN), has faster processing speed, lower energy consumption and more biological interpretability, which is expected to approach Stron
18 Dec 09, 2022
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation The code repository for "Audio-Visual Generalized Few-Shot Learning with
3 Jun 27, 2022