ippozuelo's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ryanoasis/nerd-fonts
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
google-research/google-research
Google Research
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
pybind/pybind11
Seamless operability between C++11 and Python
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
ibab/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Arturus/kaggle-web-traffic
1st place solution
k-sys/covid-19
A collection of work related to COVID-19
joanbruna/stat212b
Topics Course on Deep Learning UC Berkeley
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
8080labs/pyforest
pyforest - feel the bliss of automated imports
palantir/pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
philipperemy/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
YerevaNN/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
lorenmt/mtan
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
Aura-healthcare/hrv-analysis
Package for Heart Rate Variability analysis in Python
alan-turing-institute/rse-course
Materials for The Alan Turing Institute's Research Software Engineering course
MousaviSajad/SleepEEGNet
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
deepak-kaji/mimic-lstm
This is a complete preprocessing, model training, and figure generation repo for "An attention based deep learning model of clinical events in the intensive care unit"
bzhai/multimodal_sleep_stage_benchmark
nijianmo/fit-rec
Code for WWW 19' paper
jbrond/ActigraphCounts
Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor
mit-caml/multitask-patients
The code for the models described in "Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU" (KDD 2018).
EPCCed/prace-spark-for-data-scientists
Course materials for PRACE Introduction to Spark for Data Scientists.