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
It is the assignment for COMP 576 in Rice University

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Fully Convolutional DenseNets for semantic segmentation.

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Source Code for DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances (https://arxiv.org/pdf/2012.01775.pdf)

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AgML is a comprehensive library for agricultural machine learning

AgML is a comprehensive library for agricultural machine learning. Currently, AgML provides access to a wealth of public agricultural datasets for common agricultural deep learning tasks.

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Optimized Gillespie algorithm for simulating Stochastic sPAtial models of Cancer Evolution (OG-SPACE)

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BraTS2020 A Light & Scalable Solution to BraTS2020 | Medical Brain Tumor Segmentation (2D Segmentation) Developed the segmentation models for segregat

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Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20

Reducing Underflow in Mixed Precision Training by Gradient Scaling This project implements the gradient scaling method to improve the performance of m

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Tensorflow port of a full NetVLAD network

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Official Code Release for "CLIP-Adapter: Better Vision-Language Models with Feature Adapters"

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Pyramid Pooling Transformer for Scene Understanding

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GANfolk: Using AI to create portraits of fictional people to sell as NFTs

GANfolk are AI-generated renderings of fictional people. Each image in the collection was created by a pair of Generative Adversarial Networks (GANs) with names and backstories also created with AI.

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Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

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ICLR2021 (Under Review)

Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning This repository contains the official PyTorch implementation o

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Adversarial Reweighting for Partial Domain Adaptation

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PolyTrack: Tracking with Bounding Polygons

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FNet Implementation with TensorFlow & PyTorch

FNet Implementation with TensorFlow & PyTorch. TensorFlow & PyTorch implementation of the paper "FNet: Mixing Tokens with Fourier Transforms". Overvie

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