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provide some new architecture, channel pruning and quantization methods for yolov5
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
A lightweight end-to-end text-to-speech model
FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
QAT(quantize aware training) for classification with MQBench
forex trading with reinforcement learning
? Face Recognition using Convnext model + Flask
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
PyTorch implementation of "Nextformer: A ConvNeXt Augmented Conformer For End-To-End Speech Recognition"
Export pytorch model to ONNX and convert ONNX from float32 to float 16