Alternatives and similar repositories for eventgrad

Users that are interested in eventgrad are comparing it to the libraries listed below

• csc-training / CUDA
  Introduction to CUDA programming
  ☆129Updated 8 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆157Updated 2 years ago
• MagmaDNN / magmadnn
  MagmaDNN: a simple deep learning framework in c++
  ☆51Updated 5 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆108Updated last year
• mark-poscablo / gpu-prefix-sum
  CUDA implementation of exclusive prefix sum via Blelloch's algorithm
  ☆29Updated 8 years ago
• pulver / autodiff
  Automatic Differentiation C++ Library
  ☆58Updated 5 years ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆91Updated 2 years ago
• manishucsd / py-codegen
  ☆16Updated last year
• nunoplopes / torchy
  A tracing JIT compiler for PyTorch
  ☆13Updated 4 years ago
• nv-legate / legate
  The Foundation for All Legate Libraries
  ☆233Updated this week
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆47Updated 6 years ago
• ahennequ / cuda-tensorcores-register-mapping
  ☆19Updated 3 years ago
• ecrc / kblas-gpu
  Subset of BLAS routines optimized for NVIDIA GPUs
  ☆74Updated 2 years ago
• ndarray / ndarray
  NumPy-compatible multidimensional arrays in C++
  ☆163Updated last year
• pytorch / cppdocs
  PyTorch C++ API Documentation
  ☆242Updated this week
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆280Updated last week
• brycelelbach / cub_historical_2019_2020
  Cooperative Primitives for CUDA C++ Kernel Authors. This repository contains CUB PRs from Q4 2019 until Q4 2020.
  ☆22Updated 5 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆280Updated 5 years ago
• sleeepyjack / warpcore
  A Library for fast Hash Tables on GPUs
  ☆130Updated 2 months ago
• arrayfire / arrayfire-ml
  ArrayFire's Machine Learning Library.
  ☆105Updated 7 years ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆57Updated 3 years ago
• vulq / Flo
  Parallel network flows using OpenMP and CUDA.
  ☆28Updated 7 years ago
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆120Updated 2 years ago
• RustingSword / tensorboard_logger
  C++ API to log data in tensorboard format.
  ☆82Updated 5 months ago
• NVIDIA / numbast
  Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.
  ☆55Updated this week
• crosetto / cupq
  a CUDA implementation of a priority queue
  ☆84Updated 5 years ago
• bryancatanzaro / trove
  Full-speed Array of Structures access
  ☆176Updated 2 years ago
• robclu / tensor
  A fast tensor library for c++.
  ☆11Updated 10 years ago
• eyalroz / cuda-kat
  CUDA kernel author's tools
  ☆115Updated 3 years ago