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amrhssn / teneNCE

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Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction

network-science representation-learning link-prediction complex-network noise-contrastive-estimation recurrent-neural-network self-supervised-learning graph-representation-learning contrastive-predictive-coding gnn graph-neural-network temporal-network contrastive-learning dynamic-graph infonce dynamic-link-prediction discrete-time-dynamic-graph snapshot-sequence
  • Updated Aug 31, 2024
  • Python

francescobrigante / Audio-Style-Transfer

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Neural Audio Style Transfer between piano and violin using GAN-based Encoder-Decoder architecture based on Disentanglement of Latent Representations of the input in complex domain

machine-learning generator deep-learning discriminator gan style-transfer encoder-decoder disentangled-representations contrastive-loss adversarial-training content-style content-style-disentanglement infonce audio-style-transfer
  • Updated Jul 10, 2025
  • Jupyter Notebook

AD-Styles / clip-from-scratch

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Minimal CLIP from scratch — ResNet-20 image encoder + Transformer text encoder + Symmetric InfoNCE on CIFAR-10 / PyTorch로 직접 구현한 미니 CLIP — ResNet-20 이미지 인코더 + Transformer 텍스트 인코더 + Symmetric InfoNCE 손실 (CIFAR-10)

computer-vision deep-learning pytorch transformer resnet representation-learning clip from-scratch zero-shot-learning cifar-10 multimodal contrastive-learning image-text-retrieval infonce
  • Updated May 12, 2026
  • Python

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