Mxnet For CdlOfficial MXNet code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
Stars: ✭ 48 (-4%)
Web SynthA web-based sound synthesis, music production, and audio experimentation platform
Stars: ✭ 47 (-6%)
SalmonteSalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances
Stars: ✭ 49 (-2%)
Learn PandasTutorials on how to use pandas effectively to do data analysis
Stars: ✭ 1,045 (+1990%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-2%)
Teal deerTeal deer (from TL;DR) helps you get the gist of all the stuff you need to read, so you don't have to read it all at once.
Stars: ✭ 49 (-2%)
Wsdm Adhoc Document RetrievalThis is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.
Stars: ✭ 50 (+0%)
Mom6 ExamplesExample configurations for MOM6 and SIS2
Stars: ✭ 47 (-6%)
UniversodiscretoCódigos explicados nos vídeos do canal Universo Discreto (YouTube)
Stars: ✭ 49 (-2%)
Feature Engineering BookCode repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Stars: ✭ 1,052 (+2004%)
ThegrevisualizerVisualize synonyms and common confusing words in an interactive network
Stars: ✭ 48 (-4%)
CausalityA small repo in which I play with the ideas of causal modelling.
Stars: ✭ 49 (-2%)
Wavelet networksCode repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259
Stars: ✭ 48 (-4%)
Reaction DiffusionSome Python examples to obtain reaction-diffusion results and animations.
Stars: ✭ 47 (-6%)
VapoursynthcolabAI Video Processing/Upscaling With VapourSynth in Google Colab
Stars: ✭ 47 (-6%)
Randomized Svddemos for PyBay talk: Using Randomness to make code faster
Stars: ✭ 49 (-2%)
OctaveMusical data transmission
Stars: ✭ 50 (+0%)
Live Video AnalyticsA collection of reference applications using live video analytics capabilities in Azure Media Services
Stars: ✭ 50 (+0%)
Spark TutorialsCode and Notebooks for Spark Tutorials for Learning Journal @ Youtube
Stars: ✭ 49 (-2%)
Word2vec訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.
Stars: ✭ 48 (-4%)
Machine learning from scratchA place to hold various "from scratch" machine learning algorithms developed in Python as pedagogical tools.
Stars: ✭ 48 (-4%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (+0%)
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (-4%)
AmldataprepdocsDocumentation for Microsoft Azure Machine Learning Data Preparation
Stars: ✭ 49 (-2%)
Mlapp SolutionsSolutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
Stars: ✭ 49 (-2%)