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/

Multi-Scale Progressive Fusion Network for Single Image Deraining

Multi-Scale Progressive Fusion Network for Single Image Deraining (MSPFN) This is an implementation of the MSPFN model proposed in the paper (Multi-Sc

128 Nov 21, 2022

Leveraging Two Types of Global Graph for Sequential Fashion Recommendation, ICMR 2021

This is the repo for the paper: Leveraging Two Types of Global Graph for Sequential Fashion Recommendation Requirements OS: Ubuntu 16.04 or higher ver

10 Oct 10, 2022

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Language Generation with Recurrent Generative Adversarial Networks without Pre-training Code for training and evaluation of the model from "Language G

253 Sep 14, 2022

Exploration-Exploitation Dilemma Solving Methods

Exploration-Exploitation Dilemma Solving Methods Medium article for this repo - HERE In ths repo I implemented two techniques for tackling mentioned t

6 Jan 25, 2022

An official implementation of "Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation" (ICCV 2021) in PyTorch.

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation This is an official implementation of the paper "Exploiting a Joint

35 Oct 26, 2022

MLSpace: Hassle-free machine learning & deep learning development

Related tags

Overview

MLSpace

Hassle-Free Machine Learning & Deep Learning Development

Owner

abhishek thakur

Multi-Scale Progressive Fusion Network for Single Image Deraining

Leveraging Two Types of Global Graph for Sequential Fashion Recommendation, ICMR 2021

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Exploration-Exploitation Dilemma Solving Methods

An official implementation of "Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation" (ICCV 2021) in PyTorch.

Local-Global Stratified Transformer for Efficient Video Recognition

Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral)

Turi Create simplifies the development of custom machine learning models.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [2021]

Madanalysis5 - A package for event file analysis and recasting of LHC results

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

Source code for our paper "Do Not Trust Prediction Scores for Membership Inference Attacks"

Generate high quality pictures. GAN. Generative Adversarial Networks

Eye-Blink-Counter - Python based Computer Vision project which counts how many time a person blinks

Reference implementation for Structured Prediction with Deep Value Networks

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

A rule-based log analyzer & filter

This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".

Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

Python Auto-ML Package for Tabular Datasets