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Hi there šŸ‘‹

  • šŸ§‘ā€šŸ’» I'm a Lead Data Scientist working for an F1 team šŸļø
  • šŸ  Based in London, UK
  • šŸ… Kaggle Competitions Grandmaster (datasaurus šŸ¦–)
  • šŸ¤– Experience in forecasting, optimisation, anomaly detection, reinforcement learning, NLP and computer vision
  • šŸ’« My background is in physics
  • šŸŒ± Iā€™m currently building Tapesearch
  • šŸ˜„ Pronouns: Him/His

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Anjum Sayed's Projects

anthills icon anthills

NMR pore typing using Gaussian Mixture Models for permeability prediction

deap icon deap

Distributed Evolutionary Algorithms in Python

elo icon elo

Elo algorithm implementation in Python

ffn icon ffn

ffn - a financial function library for Python

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

icevision icon icevision

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

pytorchwavelets icon pytorchwavelets

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

rl-examples icon rl-examples

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

rsna-ich icon rsna-ich

Part of the 5th place solution for the Kaggle RSNA Intracranial Hemorrhage Detection Competition

surpyval icon surpyval

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

word-rnn-tensorflow icon word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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