Pinned Repositories
commonlitreadabilityprize
4th Place solution for the Kaggle CommonLit Readability Prize
deap
Distributed Evolutionary Algorithms in Python
icecube-neutrinos-in-deep-ice
8th place solution for the IceCube Neutrinos in Deep Ice competition
kaggle_template
Template for Kaggle projects
rl-examples
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
rsna-ich
Part of the 5th place solution for the Kaggle RSNA Intracranial Hemorrhage Detection Competition
Kaggle_G2Net
G2Net Competition
Anjum48's Repositories
Anjum48/rl-examples
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
Anjum48/commonlitreadabilityprize
4th Place solution for the Kaggle CommonLit Readability Prize
Anjum48/rsna-ich
Part of the 5th place solution for the Kaggle RSNA Intracranial Hemorrhage Detection Competition
Anjum48/kaggle_template
Template for Kaggle projects
Anjum48/icecube-neutrinos-in-deep-ice
8th place solution for the IceCube Neutrinos in Deep Ice competition
Anjum48/deap
Distributed Evolutionary Algorithms in Python
Anjum48/2016-ml-contest
Machine learning contest - October 2016 TLE
Anjum48/advent-of-code-2020
https://adventofcode.com/2020
Anjum48/Anjum48
Anjum48/anthills
NMR pore typing using Gaussian Mixture Models for permeability prediction
Anjum48/categorical-encoding
A library of sklearn compatible categorical variable encoders
Anjum48/Elo
Elo algorithm implementation in Python
Anjum48/ffn
ffn - a financial function library for Python
Anjum48/G2Net-GoGoGo
G2Net Competition
Anjum48/google-indexing-script
Script to get your site indexed on Google in less than 48 hours
Anjum48/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Anjum48/icevision
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Anjum48/pymc3
PyMC version 3
Anjum48/PyTorchWavelets
PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
Anjum48/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Anjum48/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.
Anjum48/tensorflow
Computation using data flow graphs for scalable machine learning
Anjum48/vision
Datasets, Transforms and Models specific to Computer Vision
Anjum48/word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.