Anjum Sayed's Projects
Machine learning contest - October 2016 TLE
https://adventofcode.com/2020
NMR pore typing using Gaussian Mixture Models for permeability prediction
A library of sklearn compatible categorical variable encoders
4th Place solution for the Kaggle CommonLit Readability Prize
Distributed Evolutionary Algorithms in Python
Elo algorithm implementation in Python
ffn - a financial function library for Python
G2Net Competition
Script to get your site indexed on Google in less than 48 hours
A toolkit for developing and comparing reinforcement learning algorithms.
8th place solution for the IceCube Neutrinos in Deep Ice competition
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Template for Kaggle projects
PyMC version 3
PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
Part of the 5th place solution for the Kaggle RSNA Intracranial Hemorrhage Detection Competition
Segmentation models with pretrained backbones. PyTorch.
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.
Computation using data flow graphs for scalable machine learning
tsl: a PyTorch library for processing spatiotemporal data.
Datasets, Transforms and Models specific to Computer Vision
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.