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data-pruning-OLMo Public
Forked from allenai/OLMoModeling, training, eval, and inference code for OLMo
Python Apache License 2.0 UpdatedAug 1, 2024 -
configbuilder Public
A basic configuration builder taken from OLMo codebase.
Python Apache License 2.0 UpdatedJun 28, 2024 -
adaptive_scheduling Public
Forked from facebookresearch/adaptive_schedulingExperimental scripts for researching data adaptive learning rate scheduling.
Python Other UpdatedOct 18, 2023 -
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benchmarks Public
Forked from mosaicml/examplesFast and flexible reference benchmarks
Python Apache License 2.0 UpdatedOct 10, 2022 -
composer Public
Forked from mosaicml/composerTrain neural networks up to 7x faster
Python Apache License 2.0 UpdatedSep 1, 2022 -
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multi-level-vae Public
This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.
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lightning-perceiver Public
pytorch lightning base implementation of perceiver and perceiver io
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stochastic-autoencoders Public
Forked from Lightning-Universe/paper-AAVAEPython Apache License 2.0 UpdatedJul 27, 2021 -
swav Public
Forked from facebookresearch/swavPyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
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pytorch-lightning Public
Forked from Lightning-AI/pytorch-lightningThe lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Python Apache License 2.0 UpdatedJul 9, 2020 -
libself Public
PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
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pytorch-pretrained-BERT Public
Forked from huggingface/transformersThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Jupyter Notebook Apache License 2.0 UpdatedMar 21, 2019 -
disentanglement_lib Public
Forked from google-research/disentanglement_libdisentanglement_lib is an open-source library for research on learning disentangled representation.
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cycle-consistent-vae Public
This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2…
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This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was …
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challenges-in-disentangling Public
This repository contains a pytorch implementation for the paper: Challenges in Disentangling Independent Factors of Variation (https://arxiv.org/abs/1711.02245), which was accepted at ICLR 2018's w…
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MNIST-for-Numpy Public
Forked from hsjeong5/MNIST-for-NumpyA simple, easy to use MNIST loader written in Python 3
Python MIT License UpdatedMar 13, 2018 -
bayes-nn Public
Forked from sjchoi86/bayes-nnLecture notes on Bayesian deep learning
UpdatedFeb 11, 2018 -
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Public
Forked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackersaka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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RepData_PeerAssessment1 Public
Forked from rdpeng/RepData_PeerAssessment1Peer Assessment 1 for Reproducible Research
UpdatedJun 13, 2014
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