Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022)

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Manage the availability of workspaces within Frappe/ ERPNext (sidebar) based on user-roles

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CSPML (crystal structure prediction with machine learning-based element substitution)

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Implementation of the GBST block from the Charformer paper, in Pytorch

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Perturb-and-max-product: Sampling and learning in discrete energy-based models

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Learning Energy-Based Models by Diffusion Recovery Likelihood

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ROMP: Monocular, One-stage, Regression of Multiple 3D People, ICCV21

Monocular, One-stage, Regression of Multiple 3D People ROMP, accepted by ICCV 2021, is a concise one-stage network for multi-person 3D mesh recovery f

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Train Yolov4 using NBX-Jobs

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End-to-End Speech Processing Toolkit

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[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.

MiVOS (CVPR 2021) - Mask Propagation Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang [arXiv] [Paper PDF] [Project Page] [Papers with Code] This repo impleme

Rex Cheng 106 Jan 03, 2023
GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

MTV-TSA: Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions. This is the official code release fo

owl 37 Dec 24, 2022
Learning where to learn - Gradient sparsity in meta and continual learning

Learning where to learn - Gradient sparsity in meta and continual learning In this paper, we investigate gradient sparsity found by MAML in various co

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A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

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Deep Reinforcement Learning for Multiplayer Online Battle Arena

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Source for the paper "Universal Activation Function for machine learning"

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Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

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PyTorch Implementation for Fracture Detection in Wrist Bone X-ray Images

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Annealed Flow Transport Monte Carlo

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Keras implementation of Deeplab v3+ with pretrained weights

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An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

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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

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