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YuvrajSingh-mist/Paper-Replications

PYTORCH REPLICATIONS OF MODERN MODELS

The Paper-Replications project offers to reproduce from scratch in PyTorch key AI papers: transformers, attention, GAN, diffusion, CLIP, LoRA, MoE and others. All notebooks contain training code ready to run and experiment.

// KEY FEATURES

  • Complete PyTorch implementations of transformers, attention mechanism and GAN from scratch.
  • Jupyter notebooks with training scripts for diffusion models, CLIP and LoRA.
  • Reproducible experiments: one click starts training and generates metrics.
  • Support for mixture-of-experts (MoE) and easily extensible architecture for new papers.
#artificial-intelligence#attention-mechanism#computer-vision#deep-learning#diffusion-models#educational#from-scratch#gans#jupyter-notebook#llm#machine-learning#model-implementation
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YuvrajSingh-mist/Paper-Replications — PYTORCH REPLICATIONS…