In this paper, we propose a novel approach for the Generalized Video Face Restoration (GVFR) task, which integrates video BFR, inpainting, and colorization tasks that we empirically show to benefit each other. Colorization Representation Learning 541 1.62 stars / hour Paper Code Agentless...
Contemporary machine learning requires training large neural networks on massive datasets and thus faces the challenges of high computational demands. Dataset distillation, as a recent emerging strategy, aims to compress real-world datasets for efficient training. However, this line of research currently ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. ...
Applications in Vision Transformers in RL & Universal Compute Engines Scaling transformers Interpretability with transformers ... 🔗 Link to Course NLP Course (Hugging Face) Learn about different NLP concepts and how to apply language models and Transformers to NLP: What is Transfer Learning? BPE ...
Apple on Thursday published a new entry to its Machine Learning Journal for researchers and developers, discussing face detection and the related Vision framework, which developers can use for apps on iOS, macOS, and tvOS.
Applications for the next Challenge will open in February 2025 for three weeks. We’ll select 350 Swift Student Challenge winners whose submissions demonstrate excellence in innovation, creativity, social impact, or inclusivity. From this esteemed group, we’ll name 50 Distinguished Winners whose work...
There are several GSDK examples that include machine learning and show how to run inference using pre-trained models. The pre-trained models can be replaced with a model trained from one of the methods above. Getting Started Start with any one of theseSample Applicationsthat are provided with ...
Skills such as Artificial Intelligence (AI), Machine Learning (ML),Robotics, Data Science, Blockchain, Fullstack web development, and Cyber Security are in great demand, and majorIT companieslike Microsoft, Meta, Google, and Netflix are willing to pay a 300% raise to graduates who complete ...
Data as the next challenge in atomistic machine learning As machine learning models are becoming mainstream tools for molecular and materials research, there is an urgent need to improve the nature, quality, and accessibility of atomistic data. In turn, there are opportunities for a new generation...
Deep Learning: CS 182 Deep Unsupervised Learning NYU Deep Learning SP21 Foundation Models Deep Learning (Tübingen) Scientific Machine Learning Parallel Computing and Scientific Machine Learning Practical Machine Learning LLMOps: Building Real-World Applications With Large Language Models Evaluating and Debu...