Alternatives and similar repositories for gtc_fall

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

• IBM / tensorflow-large-model-support
  Large Model Support in Tensorflow
  ☆202Updated 5 years ago
• tebesu / pytorch-cpp-tutorial
  Example code to create and train a Pytorch model using the new C++ frontend.
  ☆17Updated 6 years ago
• NVIDIA / PyProf
  A GPU performance profiling tool for PyTorch models
  ☆510Updated 4 years ago
• graphcore / poptorch
  PyTorch interface for the IPU
  ☆181Updated 2 years ago
• nv-legate / legate
  The Foundation for All Legate Libraries
  ☆235Updated this week
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆122Updated 2 years ago
• ryujaehun / pytorch-gpu-benchmark
  Using the famous cnn model in Pytorch, we run benchmarks on various gpu.
  ☆247Updated last year
• NVIDIA / nvtx-plugins
  Python bindings for NVTX
  ☆67Updated 2 years ago
• gpuopenanalytics / pynvml
  Provide Python access to the NVML library for GPU diagnostics
  ☆258Updated 5 months ago
• mlcommons / training_results_v0.7
  This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.
  ☆57Updated 2 years ago
• NVIDIA / tao_pytorch_backend
  TAO Toolkit deep learning networks with PyTorch backend
  ☆107Updated 2 months ago
• nv-legate / cupynumeric
  NumPy and SciPy on Multi-Node Multi-GPU systems
  ☆966Updated this week
• dusty-nv / pytorch-detection
  Training of object detection networks with PyTorch
  ☆16Updated 2 years ago
• lzhengchun / matrix-cuda
  matrix multiplication in CUDA
  ☆125Updated 2 years ago
• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆108Updated last year
• mingfeima / pytorch_profiler_parser
  parser script to process pytorch autograd profiler result, convert json file to excel.
  ☆14Updated 6 years ago
• numba / nvidia-cuda-tutorial
  Nvidia contributed CUDA tutorial for Numba
  ☆265Updated 3 years ago
• IntelPython / scikit-learn_bench
  scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…
  ☆119Updated last month
• ROCm / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆247Updated last week
• mlcommons / training_policies
  Issues related to MLPerf™ training policies, including rules and suggested changes
  ☆95Updated this week
• intel / torch-ccl
  oneCCL Bindings for Pytorch* (deprecated)
  ☆104Updated last month
• Nico-Curti / NumPyNet
  Neural Networks library in pure numpy
  ☆70Updated last year
• mlcommons / inference_policies
  Issues related to MLPerf® Inference policies, including rules and suggested changes
  ☆63Updated this week
• quic / efficient-transformers
  This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transfor…
  ☆85Updated this week
• SC-SGS / Distributed_GPU_LSH_using_SYCL
  Distributed k-nearest Neighbors using Locality Sensitive Hashing and SYCL
  ☆10Updated 4 years ago
• csc-training / CUDA
  Introduction to CUDA programming
  ☆129Updated 8 years ago
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆87Updated last week
• tensorflow / custom-op
  Guide for building custom op for TensorFlow
  ☆385Updated 2 years ago
• lambdal / deeplearning-benchmark
  Benchmark Suite for Deep Learning
  ☆281Updated last month
• pbridger / tensorrt-ssd300-8bit-quantized
  ☆52Updated 5 years ago