beckernick

Building an accelerated data science and data engineering ecosystem.

@NVIDIAUnited States

Pinned Repositories

logistic_regression_from_scratch
Logistic Regression from Scratch in Python
Language:Jupyter Notebook39 3 147
matrix_factorization_recommenders
Low-Rank Matrix Factorization for Recommender Systems
Language:Jupyter Notebook75 4 245
music_recommender
Music Recommendations with Collaborative Filtering and Cosine Distance
Language:Jupyter Notebook38 4 113
neural_network_from_scratch
Building Neural Networks from Scratch in Python and in Tensorflow
Language:Jupyter Notebook17 3 011
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Language:C++26.5k 910 5.4k8.7k
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Language:Python6.3k 51 1.7k778
polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Language:Rust31.4k 165 9.6k2k
cudf
cuDF - GPU DataFrame Library
Language:C++8.6k 154 6.6k920
cugraph
cuGraph - RAPIDS Graph Analytics Library
Language:Cuda1.8k 46 1.8k310
cuml
cuML - RAPIDS Machine Learning Library
Language:C++4.4k 77 2.5k545

beckernick's Repositories

beckernick/notebooks-contrib
RAPIDS Community Notebooks
Language:Jupyter Notebook1 1 01
beckernick/aws-ssl-test
Language:Jupyter Notebook2 0
beckernick/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Language:Python1 0
beckernick/blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Language:C++1 0
beckernick/blazingsql-testing-files
1 0
beckernick/cml_rapids
Article on using RAPIDs in CML
Language:Jupyter Notebook1 0
beckernick/conda-forge-repodata-patches-feedstock
A conda-smithy repository for conda-forge-repodata-patches.
Language:Python1 0
beckernick/cudf
cuDF - GPU DataFrame Library
Language:C++0 0
beckernick/cugraph
cuGraph
Language:Cuda2 0
beckernick/cuml
cuML - RAPIDS Machine Learning Library
Language:C++1 0
beckernick/dask
Parallel computing with task scheduling
Language:Python2 0
beckernick/dask-glm
Language:Python1 0
beckernick/dask-ml
Scalable Machine Learning with Dask
Language:Python1 0
beckernick/dask-sql
Distributed SQL Engine in Python using Dask
Language:Python1 0
beckernick/dependency-file-generator
Language:Python0 0
beckernick/docs
RAPIDS Documentation Site
Language:HTML0 0
beckernick/gbm-bench
A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
Language:Python0 0
beckernick/gpu-bdb
RAPIDS TPCx-BB
Language:Python1 0
beckernick/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Language:Python1 0
beckernick/jupyter-ai
A generative AI extension for JupyterLab
Language:Python0 0
beckernick/jupyterlab-nvdashboard
A JupyterLab extension for displaying dashboards of GPU usage.
Language:Python0 0
beckernick/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
beckernick/pycaret
An open-source, low-code machine learning library in Python
Language:Jupyter Notebook1 0
beckernick/rapids-dask-summit-2021
Language:Jupyter Notebook1 0
beckernick/rapids.ai
rapids.ai web site
Language:HTML0 0
beckernick/sagemaker-distribution
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
beckernick/showcase
Language:Jupyter Notebook1 0
beckernick/spark-rapids
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
beckernick/Welcome_to_BlazingSQL_Notebooks
RAPIDS data science. No setup required.
Language:Jupyter Notebook1 0
beckernick/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow