In this paper we introduce DeepForge, a platform for deep learning designed to lower the barrier to entry and facilitate the rapid development of deep learning models while maintaining a high degree of transparency and interoperability. Utilizing a cloud-based infrastructure, DeepForge facilitates rapid development by promoting reproducibility, collaboration and remote execution of machine learning pipelines. DeepForge represents an interdisciplinary approach to facilitating deep learning development as it leverages the strengths of Model Integrated Computing to provide a powerful hybrid textual-visual programming platform beneficial to both novices and researchers.