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CUDA vs Theano: What are the differences?
CUDA: It provides everything you need to develop GPU-accelerated applications. A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation; Theano: Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme.
CUDA and Theano belong to "Machine Learning Tools" category of the tech stack.
Theano is an open source tool with 8.87K GitHub stars and 2.5K GitHub forks. Here's a link to Theano's open source repository on GitHub.
According to the StackShare community, CUDA has a broader approval, being mentioned in 13 company stacks & 13 developers stacks; compared to Theano, which is listed in 5 company stacks and 10 developer stacks.