#python #nlp #sparsity #tensorflow #keras #pytorch #deep_learning_algorithms #image_classification #deep_learning_library #pruning #object_detection #automl #computer_vision_algorithms #onnx #deep_learning_models #sparsification #pruning_algorithms #smaller_models #model_sparsification #sparsification_recipes #recipe_driven_approaches

https://github.com/neuralmagic/sparseml

#cplusplus #cpp #cpp11 #cuda #deep_learning #deep_learning_library #gpu #nvidia

https://github.com/NVIDIA/cutlass

#python #deep_learning #deep_learning_library #image_captioning #multimodal_datasets #multimodal_deep_learning #salesforce #vision_and_language #vision_framework #vision_language_pretraining #vision_language_transformer #visual_question_anwsering

https://github.com/salesforce/LAVIS

#cplusplus #cpp #cuda #deep_learning #deep_learning_library #gpu #nvidia

CUTLASS is a powerful tool for high-performance matrix operations on NVIDIA GPUs. It helps developers create efficient code by breaking down complex tasks into reusable parts, making it easier to build custom applications. CUTLASS supports various data types and architectures, including the new Blackwell SM100 architecture, which means users can optimize their programs for different hardware. This flexibility and support for advanced features like Tensor Cores improve performance significantly, benefiting users who need fast computations in fields like AI and scientific computing.

https://github.com/NVIDIA/cutlass