nicolasigor's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflow/models
Models and examples built with TensorFlow
openai/openai-cookbook
Examples and guides for using the OpenAI API
eugeneyan/applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
posquit0/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
facebookresearch/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
goodfeli/dlbook_notation
LaTeX files for the Deep Learning book notation
eugeneyan/ml-design-docs
đź“ť Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
allenai/fm-cheatsheet
Website for hosting the Open Foundation Models Cheat Sheet.
perslev/U-Time
U-Time: A Fully Convolutional Network for Time Series Segmentation
pwollstadt/IDTxl
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
holgern/pyedflib
pyedflib is a python library to read/write EDF+/BDF+ files based on EDFlib.
mmattamala/LogosFCFM
Logos de la Facultad de Ciencias FĂsicas y Matemáticas (FCFM) de la Universidad de Chile
atulshanbhag/Layerwise-Relevance-Propagation
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
bnaul/IrregularTimeSeriesAutoencoderPaper
LSSTDESC/plasticc-kit
Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge
Ucampus/memoria-latex
GAMES-UChile/Wasserstein-Fourier
klacourse/MODA_GC
MODA (Massive Online Data Annotation) Groups Consensus (GC) set of spindles
swarby/A7_LacourseSpindleDetector
A7 Spindle Detector described by Lacourse et al. 2018
aparek/mcsleep
Multichannel Sleep Spindle Detector for sleep EEG
RandallBalestriero/SplineWavelet