Giters
Mark Hamilton (mhamilton723)

mhamilton723

Geek Repo

259

followers

21

following

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stars

Company:Microsoft

Home Page:https://mhamilton.net

Twitter:@mhamilton723

Github PK Tool:Github PK Tool

Organizations
Azure

Mark Hamilton's repositories

FeatUp

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

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STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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DenseAV

Offical code for the CVPR 2024 Paper: Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language

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SynapseML

Microsoft Machine Learning for Apache Spark

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CLIP

Contrastive Language-Image Pretraining

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github-actions-issue-to-work-item

GitHub Action that creates a Azure DevOps work item when an Issue is created

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onnx

Open standard for machine learning interoperability

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semisupervised-translation

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18338

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ADE20K

ADE20K Dataset

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awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-spark

A curated list of awesome Apache Spark packages and resources.

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BigDL

Fast, distributed, secure AI for Big Data

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github-actions-pr-to-work-item

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github-markdown-toc

Easy TOC creation for GitHub README.md

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gpt-review

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light-field-networks

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mhamilton723

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mhamilton723.github.io

Personal Website

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mit-eecs-thesis-proposal-template

MIT EECS Thesis Proposal Template

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models

A collection of pre-trained, state-of-the-art models in the ONNX format

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onnxmltools

ONNXMLTools enables conversion of models to ONNX

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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passt_hear21

Inference code for PaSST, using the HEAR API.

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rainforest-challenge

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robustness

Corruption and Perturbation Robustness (ICLR 2019)

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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spark-nlp

State of the Art Natural Language Processing

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TorchPQ

Efficient implementations of Product Quantization and its variants using Pytorch and CUDA

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