uday1889
Data Scientist | Building Machine Learning Applications focused on User Personalisation
adidasAmsterdam, NL
Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
almond
A scala kernel for Jupyter
Artificial-Intelligence-and-Machine-Learning
Algorithm implementations and homework solutions for the Stanford's online courses
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
brat
brat rapid annotation tool (brat) - for all your textual annotation needs
cxxnet
CXXNET, yet another neural network toolkit
rstan
RStan, the R interface to Stan
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
word2vec
Automatically exported from code.google.com/p/word2vec
uday1889's Repositories
uday1889/rstan
RStan, the R interface to Stan
uday1889/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
uday1889/almond
A scala kernel for Jupyter
uday1889/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
uday1889/conx
The On-Ramp to Deep Learning
uday1889/d3-data-visuals
d3 exploratory repository -- d3 with python for data science
uday1889/dask
Parallel computing with task scheduling
uday1889/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
uday1889/densecap
Dense image captioning in Torch
uday1889/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
uday1889/golem
A Framework for Building Robust Shiny Apps
uday1889/gratia
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
uday1889/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
uday1889/latex-templates
Website for personal collection and previewing of LaTeX templates. Presented with Python/Jinja2.
uday1889/learning_with_data
A collections of experiments with Machine Learning, Statistics and more
uday1889/machinelearning
Machine Learning and Statistical Computing
uday1889/MachineLearning-Stanford-Coursera
The Stanford Coursera course on MachineLearning with Andrew Ng
uday1889/MLJ.jl
A Julia machine learning framework
uday1889/neural_networks_for_machine_learning
Notes and Programming Assignments for Geoff Hinton's Course on Coursera
uday1889/plyr
A R package for splitting, applying and combining large problems into simpler problems
uday1889/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
uday1889/pytorch-Deep-Learning
Deep Learning (with PyTorch) https://atcold.github.io/pytorch-Deep…
uday1889/resources
PyMC3 educational resources
uday1889/spark
Apache Spark
uday1889/spark-deep-learning
Deep Learning Pipelines for Apache Spark
uday1889/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
uday1889/uday1889.gihub.io
uday1889/uday1889.github.io
Spinning my own web
uday1889/xgboostExplainer
An R package that makes xgboost models fully interpretable
uday1889/XGBoostLSS
An extension of XGBoost to probabilistic forecasting.