Abstract: Resource estimation for implementing circuit designs in an integrated circuit (IC) can include detecting, using computer hardware, a plurality of Intellectual Property (IP) cores within a circuit design, extracting, using the computer hardware and from the circuit design, parameterizations for the plurality of IP cores as used in the circuit design, and selecting, using the computer hardware, a machine learning (ML) model corresponding to each IP core, wherein each selected ML model is specific to the corresponding IP core. Each selected ML model can be provided input specifying a target IC for the circuit design and the parameterization for the corresponding IP core. An estimate of resource usage for the circuit design can be generated by executing the selected ML models. The resource usage specifies an amount of resources of the target IC needed to implement the circuit design in the target IC.