With 7+ years of experience in data science and data engineering, and having worked in oil & gas, retail, ad-tech and e-commerce, I build large-scale machine learning systems and data pipelines. Rust enjoyer.
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pytorch-scarf
pytorch-scarf PublicImplementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspire…
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wukong-recommendation
wukong-recommendation PublicImplements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
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scratch-llm
scratch-llm PublicImplements a LLM similar to Meta's Llama 2 from the ground up in PyTorch, for educational purposes.
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evidential-deeplearning
evidential-deeplearning PublicImplementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.
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multitask-learning
multitask-learning PublicTensorflow implementation of three architectures for multi-task learning, a paradigm to learn different prediction tasks jointly using one model
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ctr-prediction
ctr-prediction PublicImplementation of some state-of-the-art deep learning architectures for CTR prediction tasks, both in Pytorch and Tensorflow
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