Alternatives and similar repositories for gbm-bench:

Users that are interested in gbm-bench are comparing it to the libraries listed below

• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆108Updated last year
• nv-legate / legate.pandas
  An Aspiring Drop-In Replacement for Pandas at Scale
  ☆75Updated 3 years ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 4 years ago
• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆44Updated 2 years ago
• rapidsai / custrings
  [ARCHIVED] GPU String Manipulation --> Moved to cudf
  ☆46Updated 5 years ago
• CODAIT / graph_def_editor
  GraphDef Editor: A port of the TensorFlow contrib.graph_editor package that operates over serialized graphs
  ☆31Updated 2 years ago
• rapidsai / ucx-py
  Python bindings for UCX
  ☆134Updated last week
• kubeflow / xgboost-operator
  Incubating project for xgboost operator
  ☆77Updated 3 years ago
• rapidsai / dask-cudf
  [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
  ☆136Updated 5 years ago
• dionhaefner / pyhpc-benchmarks
  A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
  ☆325Updated 7 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆145Updated 3 years ago
• deep500 / deep500
  A Deep Learning Meta-Framework and HPC Benchmarking Library
  ☆81Updated 2 years ago
• arapat / sparrow
  Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…
  ☆21Updated 4 years ago
• miroenev / rapids
  http://rapids.ai
  ☆21Updated 5 years ago
• Vaishaal / numpywren
  Serverless Scientific Computing
  ☆87Updated 5 years ago
• gmarkall / life-of-a-numba-kernel
  Worked example of the process from Python source to CUDA kernel execution with Numba
  ☆40Updated 7 months ago
• mlpack / benchmarks
  Machine Learning Benchmark Scripts
  ☆106Updated 4 years ago
• awthomp / whitewater
  A visual dataflow programming language for NVIDIA's RAPIDS, based on AlvarBer/Persimmon
  ☆13Updated 5 years ago
• jrbourbeau / dask-optuna
  Scale Optuna with Dask
  ☆35Updated 4 years ago
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆132Updated 2 years ago
• IntelPython / scikit-learn_bench
  scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…
  ☆117Updated 2 weeks ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆257Updated 2 years ago
• rapidsai / gputreeshap
  ☆98Updated 3 weeks ago
• VoVAllen / tf-dlpack
  DLPack for Tensorflow
  ☆35Updated 5 years ago
• facebookresearch / FBTT-Embedding
  This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …
  ☆194Updated 2 years ago
• criteo / Spark-RSVD
  Randomized SVD of large sparse matrices on Spark
  ☆77Updated 2 years ago
• NVIDIA / nvtx-plugins
  Python bindings for NVTX
  ☆66Updated last year
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆77Updated last week