Nevermore
PhD Candidate
Summary
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RockstarNevermore is a PhD candidate and machine learning engineer with eight years of software experience, currently based in China and enrolled at the University of Sydney. They contribute to high-profile open-source AI projects, notably integrating and extending the CMT convolutional-transformer model within Huawei Noah's Efficient-AI-Backbones repository, focusing on model architecture, training pipelines, and dataset integration. Skilled at bridging research and engineering, they translate advanced neural architectures into production-ready training code and utilities. Their background suggests strong expertise in deep learning systems, reproducible training workflows, and collaborative open-source development. An unusual strength is their ability to navigate large lab-scale codebases (like Huawei Noah) while maintaining academic research momentum.
8 years of coding experience
Github Skills (6)
pytorch10
machine-learning10
convolutional-neural-networks10
python10
pre-trained-model7
tensorflow5
Programming languages (3)
Github contributions (5)
huawei-noah/Efficient-AI-Backbones
Jun 2022 - Jun 2022
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Role in this project:
ML Engineer
ML EngineerContributions:10 commits, 2 PRs, 11 pushes in 1 day
Contributions summary:Nevermore primarily contributes to the implementation and updates of a Convolutional Neural Network model, specifically the CMT model. Their work involves adding and modifying core components of the CMT model architecture, including the `cmt.py`, `datasets.py`, `engine.py`, `samplers.py`, `train.py`, and `utils.py` files. The user appears to be involved in integrating CMT within the existing repository, likely focusing on training pipelines and dataset integration.
mlptensorflowpretrained-modelsarkconvolutional-neural-networks
ggjy/Hire-Wave-MLP.pytorch
Nov 2021 - Jan 2022
Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.
Contributions:3 releases, 17 commits, 16 pushes in 1 month
pytorchhiremlppatchvision-mlp
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