What are the open-source communities and projects related to fine tuning?

Noble Cortex is seeking a Machine Learning Engineer with a passion for speech recognition and Large Language Model (LLM) fine-tuning. This role provides the ... Modifying the "initial_epoch" arg when doing fine tuning and transfer learning. ... mrdbourke / tensorflow-deep-learning Public. Notifications You must be signed ... One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated ... only fine-tune the last layer of the deep neural network: here, the last layer of the source model is kept but serves as an initialization of the target Machine ... Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Jun 10, 2024 ... By fine-tuning only the adapter layers, the original parameters of ... Our research in machine learning breaks new ground every day. In this work, the focus was on fine-tuning and evaluation of state-of-the-art deep convolutional neural network for image-based plant disease classification. LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks ... Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ... Fine-tuning is a technique used in machine learning and deep learning to adapt a pre-trained model to perform specific tasks or domains. Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific tasks of interest.