Bootstrap Your Own Latent (BYOL) in Pytorch
Practical implementation of a new state of the art (surpassing SimCLR) without contrast learning and having to designate negative pairs.
self-supervised-learning byol simclr code
Top Down Introduction to BERT with HuggingFace and PyTorch
I will also provide some intuition into how BERT works with a top down approach (applications to algorithm).
bert top-down huggingface pytorch
Adversarial Latent Autoencoders
Introducing the Adversarial Latent Autoencoder (ALAE), a general architecture that can leverage recent improvements on GAN training procedures.
autoencoders generative-adversarial-networks latent-space disentanglement
Easy OCR
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
optical-character-recognition resnet lstm computer-vision
PyTorch Pruning | How it's Made by Michela Paganini
In this talk, you will learn about pruning, why it's important and how to get started using PyTorch's Pruning (torch.nn.utils.prune).
pruning pytorch model-compression video
Continuous Machine Learning (CML) is CI/CD for ML
CML helps to organize MLOps infrastructure on top of the traditional software engineering stack instead of creating separate AI platforms.
continuous-integration continuous-development continuous-deployment ci/cd
Torch-Struct: Structured Prediction Library
A library of tested, GPU implementations of core structured prediction algorithms for deep learning applications.
conditional-random-fields pytorch hidden-markov-models torch-struct
PyTorch Implementation of Differentiable SDE Solvers
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
stochastic-differential-equation sde pytorch code
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