MLSpace: Hassle-free machine learning & deep learning development

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
abhishek thakur
A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models

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Scrutinizing XAI with linear ground-truth data

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Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers

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This is the official implementation of our proposed SwinMR

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Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

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This repository contains a pytorch implementation of "StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision".

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87 Dec 09, 2022
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

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Ian Pointer 368 Dec 17, 2022
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021)

Evaluation, Training, Demo, and Inference of DeFMO DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021) Denys Rozumnyi, Martin R. O

Denys Rozumnyi 139 Dec 26, 2022
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Blender scripts for computing geodesic distance

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HyperDict - Self linked dictionary in Python

Hyper Dictionary Advanced python dictionary(hash-table), which can link it-self

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Wanli Li and Tieyun Qian: Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction, IJCNN 2021

MRefG Wanli Li and Tieyun Qian: "Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction", IJCNN 2021 1. Requirements To reproduc

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Spherical CNNs

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Affine / perspective transformation in Pose Estimation with Tensorflow 2

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Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.

Poisson-solver-2D Finite difference solution of 2D Poisson equation Current version can handle Dirichlet, Neumann, and mixed (combination of Dirichlet

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[ArXiv 2021] One-Shot Generative Domain Adaptation

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A Python library created to assist programmers with complex mathematical functions

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A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

WGAN-GP An pytorch implementation of Paper "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU

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[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

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(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

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