This folder contains code to run experiments in the paper Meta-Learning to Improve Pre-Training, NeurIPS 2021. Please refer to the README files in the multitask/ and simclr folders for experiments in the mutlitask PT and self-supervised PT domains, respectively.
We also include a self-contained notebook that can be run on Google Colab to examine the synthetic MNIST data augmentation domain here.
MPLS in the SDN Era -- DevNet SPAUTO Get right to the study material: Checkout the Wiki! A lab topology based on MPLS in the SDN era book used for 30
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GrabGpu_py a scripts for grab gpu when gpu is free. WaitCondition: gpu_memory
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PatchGraph This repository contains the source code of the paper PatchGraph: In-hand tactile tracking with learned surface normals. Installation Creat
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Permute Me Softly: Learning Soft Permutations for Graph Representations
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
Pylomin Pylomin (PYtorch LOw-Memory INference) is a library for low-memory inferencing in PyTorch. Installation ... Usage For example, the following c
Example code of [Tianchi AAAI2022 Security AI Challenger Program Phase 8]
FaceFinder Use a powerful CNN to identify faces in images! TABLE OF CONTENTS About The Project Built With Getting Started Prerequisites Installation U
OnlySave: Onlyfans downloader Getting Started: Download the setup executable from the latest release. Install and run. Only works on Windows currently
Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e.g., in physics and geology. The budding approaches in this space are limited b
py_neuromodulation Click this button to run the "Tutorial ML with py_neuro" notebooks: The py_neuromodulation toolbox allows for real time capable pro
Reinforcement learning framework and algorithms implemented in PyTorch.
Online Multiple Object Tracking with Cross-Task Synergy This repository is the implementation of the CVPR 2021 paper "Online Multiple Object Tracking
Awesome Monocular 3D detection Paper list of 3D detetction, keep updating! Contents Paper List 2022 2021 2020 2019 2018 2017 2016 KITTI Results Paper
pytorch-3dunet PyTorch implementation 3D U-Net and its variants: Standard 3D U-Net based on 3D U-Net: Learning Dense Volumetric Segmentation from Spar
Bottleneck Transformer - Pytorch Implementation of Bottleneck Transformer, SotA visual recognition model with convolution + attention that outperforms
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