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NeuralAditya / Neural_Network_C

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Neural Network C is an advanced neural network implementation in pure C, optimized for high performance on CPUs and NVIDIA GPUs.

machine-learning encryption deep-learning neural-network openmp mpi parallel-computing cuda transformers artificial-intelligence high-performance-computing convolutional-neural-networks gpu-computing quantization bayesian-optimization multi-gpu c-programming real-time-monitoring secure-computing tensor-cores
  • Updated Mar 29, 2025
  • C

Umer-Farooq-CS / MNIST-Classification

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The MNIST classification problem is a fundamental machine learning task that involves recognizing handwritten digits (0- 9) from a dataset of 70,000 grayscale images (28x28 pixels each). It serves as a benchmark for evaluating machine learning models, particularly neural networks.

benchmarking deep-learning parallel-computing cuda mnist neural-networks high-performance-computing gpu-acceleration profiling shared-memory openacc performance-optimization c-cpp nsight tensor-cores cuda-streams pinned-memory
  • Updated Sep 12, 2025
  • Cuda

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