MLSpace: Hassle-free machine learning & deep learning development

Last update: Jan 03, 2023

Overview

MLSpace

Hassle-Free Machine Learning & Deep Learning Development

No need to worry about CUDA
No need to worry about cuDNN
No need to worry about TensorFlow version
No need to worry about PyTorch version
No need to install any libraries

coming soon

NOTE: PRs are currently not accepted. All PRs will be closed. Please use issues instead.

Owner

abhishek thakur

Kaggle: www.kaggle.com/abhishek

GitHub Repository https://mlspace.readthedocs.io/en/latest/

Put blind watermark into a text with python

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The code is an implementation of Feedback Convolutional Neural Network for Visual Localization and Segmentation.

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🛠️ Tools for Transformers compression using Lightning ⚡

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Official pytorch implementation of "Feature Stylization and Domain-aware Contrastive Loss for Domain Generalization" ACMMM 2021 (Oral)

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Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection

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Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

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π-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

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This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our paper "Accounting for Gaussian Process Imprecision in Bayesian Optimization"

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