A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆28 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

nlp natural-language-processing text-classification glue pytorch transformer imagenet image-classification coco object-detection semantic-segmentation knowledge-distillation cifar10 pascal-voc cifar100 google-colab colab-notebook amazon-sagemaker-lab causal-language-modeling pytorch-ecosystem

• Updated Nov 12, 2026
• Python

Turn ONNX models into inspectable, transformable, and trainable PyTorch FX GraphModules

machine-learning deep-learning pytorch onnx model-converter pytorch-ecosystem

• Updated May 14, 2026
• Python

Quantization Aware Training

benchmarking computer-vision deep-learning image-processing cnn pytorch performance-metrics gpu-acceleration object-detection transfer-learning model-evaluation model-comparison coco-dataset model-weights dataset-preparation quantization-aware-training yolov8 training-and-testing pytorch-ecosystem deep-learning-frameworks

• Updated Jan 13, 2024
• Python