Stars
A playbook for systematically maximizing the performance of deep learning models.
An open access book on scientific visualization using python and matplotlib
Simulating stratified model for the spread of COVID19 in a population.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Probabilistic time series modeling in Python
A diffing and merging tool for the IPython Notebook.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
A Python implementation of global optimization with gaussian processes.
The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
😡😇 Stanford Sentiment Treebank loader in Python
📚 Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.
Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)
A topic-centric list of HQ open datasets.
A curated list of awesome Machine Learning frameworks, libraries and software.
A parser for Google Scholar, written in Python
Efficient Image Captioning code in Torch, runs on GPU
Easy benchmarking of all publicly accessible implementations of convnets
A Theano framework for building and training neural networks
Simple tutorials using Google's TensorFlow Framework
Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework
An Open Source Machine Learning Framework for Everyone
A recurrent neural network for generating little stories about images
btabibian / conference
Forked from sods/neurips2014Tools for managing the Conference Management Toolkit from Microsoft.