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cheekymachine/README.md

👋 Hi, I’m Neelesh Bhalla

Following is a brief summary of my background:

  • IIT Roorkee and Frankfurt-SFM alumnus
  • Have worked in strategic positions with a few early stage Indian startups managing product and operations after a career start with a French oilfield MNC
  • Currently pursuing my fostered passion for Deep Learning, Neural Networks and Reinforcement Learning.

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  1. transformers_for_time_series_forecasting transformers_for_time_series_forecasting Public

    Inferencing 'PatchTST' and 'Informer' to harness the power of transformers for multivariate 'long sequence time-series forecasting' (LSTF).

    Jupyter Notebook 19 7

  2. pdf_chatbot_using_rag pdf_chatbot_using_rag Public

    Tinkering with LlamaIndex and Mistral-7B-Instruct-v0.1 on Google-Colab to build a smart agent (chatbot)

    Jupyter Notebook

  3. large_language_models_for_processing_emails large_language_models_for_processing_emails Public

    Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)

    Jupyter Notebook 13 3

  4. nlp_for_analysing_news_signals nlp_for_analysing_news_signals Public

    Deep Learning for analysing financials and regulatory signals in textual news corpus for RegHub UG

    Jupyter Notebook

  5. Forecasting-prevalence-of-undernourishment-using-conflict-climate-and-economic-data Forecasting-prevalence-of-undernourishment-using-conflict-climate-and-economic-data Public

    Forked from sonic171717/undernourishment_prediction

    Tinkering with self curated dataset to model and predict Prevalence of Undernourishment in countries

    Jupyter Notebook

  6. satellite_data_for_sustainable_consulting satellite_data_for_sustainable_consulting Public

    Proof-checking NO2 emission values at production facilities using satellite data

    Jupyter Notebook