numba / nvidia-cuda-tutorialLinks
Nvidia contributed CUDA tutorial for Numba
☆257Updated 3 years ago
Alternatives and similar repositories for nvidia-cuda-tutorial
Users that are interested in nvidia-cuda-tutorial are comparing it to the libraries listed below
Sorting:
- A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python☆332Updated last year
- The Foundation for All Legate Libraries☆228Updated this week
- scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…☆118Updated last week
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 3 years ago
- Worked example of the process from Python source to CUDA kernel execution with Numba☆42Updated last year
- GPU Development in Python 101 tutorial☆277Updated 11 months ago
- Numba tutorial for GTC2019☆134Updated 2 years ago
- Neural Networks library in pure numpy☆70Updated last year
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆228Updated last year
- Notebooks for the "Deep Learning with JAX" book☆156Updated 4 months ago
- Productionize machine learning predictions, with ONNX or without☆66Updated last year
- PythonHPC☆115Updated 2 years ago
- Example Numba implementations of functions☆177Updated 3 years ago
- Utilities for Dask and CUDA interactions☆315Updated this week
- Exploring using stdpar and Cython☆34Updated 4 years ago
- The CUDA target for Numba☆193Updated this week
- NVIDIA Data Science stack tools☆392Updated 2 years ago
- DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning☆297Updated 2 weeks ago
- Drop-in autodiff for NumPy.☆213Updated last month
- Python in High Performance Computing☆358Updated 7 months ago
- Numba tutorial for GTC 2018☆115Updated 2 years ago
- NumPy and SciPy on Multi-Node Multi-GPU systems☆934Updated this week
- A plugin for Jupyter Notebook to run CUDA C/C++ code☆246Updated last year
- This material contains content on how to profile and optimize simple Pytorch mnist code using NVIDIA Nsight Systems and Pytorch Profiler☆16Updated 2 years ago
- Material for the SC21 Deep Learning at Scale Tutorial☆27Updated 2 years ago
- A library that translates Python and NumPy to optimized distributed systems code.☆132Updated 3 years ago
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆301Updated this week
- TorchFix - a linter for PyTorch-using code with autofix support☆149Updated last month
- Numba tutorial for GTC2020☆35Updated 2 years ago
- Distributed skorch on Ray Train☆58Updated 3 years ago