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šŸ’« About Me:

šŸ”­ Iā€™m currently working on NLP and MMM
šŸ‘Æ Iā€™m looking to collaborate on applying MLOPS Principles in data science roles
šŸŒ± Iā€™m currently learning Time series forecasting and LLM's.

šŸŒ Socials:

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šŸ’» Tech Stack:

Azure C++ Python MySQL Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Docker GIT Power BI Tableau

šŸ“Š GitHub Stats:



šŸ† GitHub Trophies


Shyam Sundar's Projects

3d_street_view icon 3d_street_view

The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

ds-career-resources icon ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI šŸ”— https://microsoft.github.io/generative-ai-for-beginners/

god-level-data-science-ml-full-stack icon god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

leaked-gpts icon leaked-gpts

Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.

lit-gpt icon lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

lstm_encoder_decoder icon lstm_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

made-with-ml icon made-with-ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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