Alternatives and similar repositories for eventgrad:

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

• tebesu / pytorch-cpp-tutorial
  Example code to create and train a Pytorch model using the new C++ frontend.
  ☆17Updated 6 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 5 years ago
• ahennequ / cuda-tensorcores-register-mapping
  ☆18Updated 2 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆150Updated last year
• RustingSword / tensorboard_logger
  C++ API to log data in tensorboard format.
  ☆77Updated 4 months 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
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 3 years ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆255Updated 2 years ago
• zasdfgbnm / autonvtx
  Automatically insert nvtx ranges to PyTorch models
  ☆17Updated 3 years ago
• pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆178Updated 3 months ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆62Updated last year
• mhubii / ppo_libtorch
  C++ implementation of Proximal Policy Optimization
  ☆81Updated 2 years 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
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆131Updated 7 months ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆54Updated 3 years ago
• yandex-research / moshpit-sgd
  "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation
  ☆29Updated last month
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆120Updated last year
• mhubii / libtorch_custom_dataset
  Demo dataset for libtorch
  ☆56Updated 3 years ago
• codeplaysoftware / portDNN
  portDNN is a library implementing neural network algorithms written using SYCL
  ☆111Updated 10 months ago
• talhasaruhan / cpp-matmul
  Fast, multithreaded, AVX/FMA matrix multiplication kernel in C++ 17
  ☆18Updated 6 years ago
• vedantroy / gpu_kernels
  ☆25Updated last year
• sail-sg / hloenv
  an environment based on XLA for deep learning compiler optimization research.
  ☆23Updated 2 years ago
• dlsyscourse / lecture13
  ☆9Updated 5 months ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆77Updated last year
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆92Updated 11 months ago
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• NeuHub / TVMDeepDive
  ☆22Updated 5 years ago
• navneet-nmk / Pytorch-RL-CPP
  A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
  ☆95Updated 5 years ago
• ray-project / distml
  Distributed ML Optimizer
  ☆30Updated 3 years ago
• rapidsai / nvgraph
  ☆32Updated 4 years ago