Open Source Framework

Open-source frameworks are accelerating scientific progress by providing readily accessible tools and datasets for various research domains. Current research emphasizes developing frameworks tailored to specific needs, such as those for training large language models, analyzing tabular data, or advancing deep learning in healthcare, often incorporating architectures like transformers, GANs, and VAEs, and algorithms like reinforcement learning. These frameworks foster collaboration, reproducibility, and efficient knowledge discovery, ultimately impacting diverse fields from biomedical research and robotics to industrial applications and AI development.