Pytorch, MLops, Python, Technical Documentation, Computer Vision, Surrogate Modeling, Data-to-Model Interface, Model Evaluation, Active Learning

Jax, Pytorch, Python, ML components across data training evaluation and inference, Production ML systems running on GPUs

Machine Learning, Functional Analysis, MATLAB, Python, quantum reservoir computing, statistical learning theory, kernel RKHS methods, dynamical systems, Julia, open quantum systems, quantum stochastic processes, quantum control, operator theory

Java, Tensorflow, Machine Learning, Pytorch, Deep Learning

Pytorch, Python, Sql, GAT, PyTorch Geometric, DGL, Graph Learning, Graph Deep Learning, RGAT

Sql, Hive, Pytorch, Spark, Python, Knowledge Graph Completion, Neighborhood Aggregation, Multi-Task Learning, Distributed Training, GraphSAGE, Graph Construction, DGL, PyTorch Geometric, Heterogeneous Graph Modeling, Attention Mechanisms, Graph Self-Supervised Learning, Link Prediction, GCN, Node Classification, Graph Representation Learning, GPU Training, Message Passing, Graph Deep Learning

Tensorflow, Version Control, Hive, Pytorch, Spark, Python, a/b testing, Feature engineering, Statistical significance, Machine learning concepts, supervised learning, Cloud ML platforms, Model evaluation

Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, Python, Scikit-learn