Alternatives and similar repositories for eventgrad

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

• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆99Updated last year
• axonn-ai / axonn
  A parallel framework for training deep neural networks
  ☆60Updated 2 months ago
• facebookresearch / FAMBench
  Benchmarks to capture important workloads.
  ☆31Updated 4 months ago
• mark-poscablo / gpu-prefix-sum
  CUDA implementation of exclusive prefix sum via Blelloch's algorithm
  ☆28Updated 7 years ago
• ahennequ / cuda-tensorcores-register-mapping
  ☆18Updated 2 years ago
• navneet-nmk / Pytorch-RL-CPP
  A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
  ☆96Updated 5 years ago
• eyalroz / cuda-kat
  CUDA kernel author's tools
  ☆111Updated 3 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆154Updated 2 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆45Updated 5 years ago
• manishucsd / py-codegen
  ☆16Updated 8 months ago
• NVIDIA / numbast
  Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.
  ☆47Updated last week
• harrism / ranger
  Generate simple index ranges in C++ and CUDA C++
  ☆39Updated last year
• nod-ai / transformer-benchmarks
  benchmarking some transformer deployments
  ☆26Updated 2 years ago
• talhasaruhan / cpp-matmul
  Fast, multithreaded, AVX/FMA matrix multiplication kernel in C++ 17
  ☆18Updated 6 years ago
• open-lm-engine / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆48Updated this week
• rapidsai / nvgraph
  ☆32Updated 4 years ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆82Updated last year
• milakov / int_fastdiv
  Fast integer division with divisor not known at compile time. To be used primarily in CUDA kernels.
  ☆70Updated 9 years ago
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆60Updated last month
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆54Updated 3 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
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆45Updated 2 weeks ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆44Updated 10 months ago
• MagmaDNN / magmadnn
  MagmaDNN: a simple deep learning framework in c++
  ☆49Updated 4 years ago
• Jokeren / triton-samples
  ☆28Updated 4 months ago
• brycelelbach / cub_historical_2019_2020
  Cooperative Primitives for CUDA C++ Kernel Authors. This repository contains CUB PRs from Q4 2019 until Q4 2020.
  ☆22Updated 4 years ago
• vedantroy / gpu_kernels
  ☆26Updated last year
• ecrc / kblas-gpu
  Subset of BLAS routines optimized for NVIDIA GPUs
  ☆68Updated 2 years ago
• facebookresearch / loop_nest
  Loop Nest - Linear algebra compiler and code generator.
  ☆22Updated 2 years ago
• fabiocannizzo / FastBinarySearch
  Fast and vectorizable algorithms for searching in a vector of sorted floating point numbers
  ☆142Updated 5 months ago