Showing 81-100 of 100 projects
A comprehensive list of contrastive self-supervised learning papers for machine learning researchers.
Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.
A comprehensive survey on knowledge distillation techniques for large language models.
A PyTorch implementation of the SimSiam self-supervised learning algorithm, useful for AI and ML developers.
A curated list of resources for relation extraction, a key NLP task, useful for vibe coders.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
A simple semi-supervised learning method with limited data, useful for AI/ML developers.
A Python library for semi-supervised learning, focused on improving model performance with limited labeled data.
A fault-tolerant, asynchronous PHP framework for building distributed applications and microservices.
A bio-computing platform for large-scale representation learning and multi-task deep learning on molecular and biological data.
EnlightenGAN is an AI-powered image enhancement tool that can brighten low-light images without requiring paired supervision.
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.
A research paper on first-order meta-learning algorithms, with associated code in JavaScript.
An open-source implementation of the SimMIM framework for self-supervised masked image modeling.
Official PyTorch implementation of a CVPR 2022 paper on GAN-supervised dense visual alignment.
Official implementation of the ADBench anomaly detection benchmark for machine learning models
A contrastive learning-based semi-supervised medical image segmentation network for surgical tools and video analysis.
PyTorch implementation of Barlow Twins, a self-supervised learning technique for computer vision tasks.
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