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I am a supercomputing Engineer at Intel working on enabling frameworks and deep learning applications at scale on GPUs. I build/contribute to deep learning frameworks and models to enable industrial practitioners to use them. Based on prior experiences with different industrial organizations (Google Research, Morgan Stanley etc) I have found that democratizing deep learning software helps to greatly enable various industries to apply state of the art algorithms in different sectors .

My passion for programming led me to build different deep learning architectures which are being used by organizations . On my free time, I continue to maintain and add user-requested features to my main projects, to help engineers build better software faster. That's why all sponsorship support is extremely welcome

1 sponsor has funded abhilash1910’s work.

@abhilash1910

It would mean greatly if I can have atleast 1 sponsor a month.

@taskswithcode

Featured work

  1. abhilash1910/SpectralEmbeddings

    spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Splin…

    HTML 65
  2. abhilash1910/ClusterTransformer

    Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

    Python 43
  3. abhilash1910/BERTSimilarity

    Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.

    Python 27
  4. abhilash1910/Deep_Reinforcement_Learning_Trading

    Deep Reinforcement Learning for Trading

    Jupyter Notebook 26
  5. abhilash1910/MiniAttention

    Hierarchical Attention Layer for Keras for document classification.

    Jupyter Notebook 7

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