Three deep learning systems from a Generative AI course: CycleGAN photo↔sketch translation, a from-scratch Transformer for English-Urdu NMT, and a Vision Transformer vs CNN benchmark on CIFAR-10.
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YutongChenVictor/NPU-E2E: End-to-End NPU: RTL systolic array → AXI4 SoC → TVM compiler → FPGA inference
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harinishri2204-cpu/Pollu-Sence: PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and deep learning techniques. The platform integrates real-time air quality data.
PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and ...