Alternatives and similar repositories for scipy-2019-rapids-tutorial

Users that are interested in scipy-2019-rapids-tutorial are comparing it to the libraries listed below

• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆59Updated 4 years ago
• QuantStack / quantstack-talks
  Slides for quantstack talks
  ☆80Updated 2 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• saturncloud / workshop-dask-pytorch
  Introduction to Dask for PyTorch Workflows
  ☆13Updated 4 years ago
• rapidsai / dask-cuml
  [ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml
  ☆16Updated 6 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated last month
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated 2 years ago
• JovianHQ / fastai_slack
  Get Slack notifications while training FastAI models
  ☆13Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• muellerzr / nbdev_colab
  Utilizing nbdev in Google Colaboratory
  ☆14Updated 2 years ago
• dask / dask-benchmarks
  asv benchmarks for dask projects
  ☆18Updated 3 years ago
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 2 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• tchambon / Tensorboard-in-Fastai
  How to use tensorboard in fastai
  ☆21Updated 6 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated 2 years ago
• fastai / fastdot
  A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
  ☆63Updated 2 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• jcrist / ptime
  IPython magic for parallel profiling (like `%time`, but parallel)
  ☆72Updated 8 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• pentschev / pybench
  Automation tools for Python benchmarking
  ☆19Updated 6 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 7 years ago
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆88Updated 3 years ago
• joelgrus / streamlit-games
  streamlit games
  ☆14Updated 2 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago