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Hello world, I am Tanhim!

  • 🔭 I’m currently working on ... Data Science, Deep Learning, Transfer Learning, AutoML
  • 🌱 I’m currently learning ... Data Science, Machine Learning Engineering, AutoML
  • 💬 Ask me about ... Practical Data Science, Natural Language Processing, Computer Vision, Artificial Intelligence
  • 🚀 My ML model ... https://huggingface.co/Tanhim/gpt2-model-de
  • 📫 How to reach me: ... [email protected]
  • 👋 LinkedIn profile ... https://www.linkedin.com/in/tanhim-islam/
  • 😄 Pronouns: ... he/him
  • ⚡ Hobby: ... Photography, Astronomy -->

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Tanhim Islam's Projects

agricultural-dataset-bangladesh-44-parameters- icon agricultural-dataset-bangladesh-44-parameters-

A dataset sample which has retrieved from over 0.3 million full dataset. There have collection of 46 parameters such as - maximum and minimum temperature, average rainfall, humidity, climate, weather, and types of land, types of chemical fertiliser, types of soil, and more for applying into machine learning process.

auto-pytorch icon auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

automl-with-metafeatures icon automl-with-metafeatures

AutoML is one of the most important fields of Machine Learning whose purpose is to automate the creation of models (without knowledge of the world of data science) and optionally, obtain better results than any handcrafted solution. One approach to the selection of classifiers has been the learning of metafeaturing which consists in trying to know the nature of the data with (for example) a model like Gaussian process.

avs1508 icon avs1508

Hey there :wave: ! I'm Aditya and this repository houses my profile description.

awesome-automl-and-lightweight-models icon awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

fm-learn icon fm-learn

Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.

gmm icon gmm

C++ implementation of Gaussian Mixture Model

graph4nlp icon graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

haystack icon haystack

:mag: End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the State-of-the-Art of NLP. Supports DPR, Elasticsearch, Hugging Face’s Hub, and much more!

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