Virtual Lab: Self-Supervised Contrastive Learning (SimCLR)

root@phd-gpu-cluster:~# python run_selfsupervised_contrastive_learning_simclr_experiment.py --use_cuda=True [INFO] Initializing distributed training environment... [INFO] Loading PhD-level module: Self-Supervised Contrastive Learning (SimCLR) [METRIC] CUDA Memory Allocated: 46 GB [METRIC] TFLOPS Achieved: 146.4 [SUCCESS] Model converged successfully. Gradients stable.