Alternatives and similar repositories for tutorials

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

• graphcore / examples
  Example code and applications for machine learning on Graphcore IPUs
  ☆323Updated last year
• graphcore / poptorch
  PyTorch interface for the IPU
  ☆179Updated last year
• graphcore / poplibs
  Poplar libraries
  ☆119Updated last year
• graphcore / tensorflow
  TensorFlow for the IPU
  ☆78Updated last year
• graphcore / popart
  Poplar Advanced Runtime for the IPU
  ☆7Updated last year
• spcl / substation
  Research and development for optimizing transformers
  ☆126Updated 4 years ago
• graphcore / poprithms
  Graph algorithms for machine learning frameworks
  ☆29Updated 2 years ago
• huggingface / optimum-graphcore
  Blazing fast training of 🤗 Transformers on Graphcore IPUs
  ☆85Updated last year
• facebookresearch / FAMBench
  Benchmarks to capture important workloads.
  ☆31Updated 4 months ago
• stanford-futuredata / stk
  ☆105Updated 9 months ago
• marsupialtail / sparsednn
  Fast sparse deep learning on CPUs
  ☆53Updated 2 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆264Updated 4 years ago
• NVIDIA / LDDL
  Distributed preprocessing and data loading for language datasets
  ☆39Updated last year
• iree-org / iree-nvgpu
  ☆50Updated last year
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆132Updated last week
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆131Updated 3 years ago
• awslabs / slapo
  A schedule language for large model training
  ☆148Updated 11 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 2 months ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆138Updated 2 years ago
• Jokeren / triton-samples
  ☆28Updated 4 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆198Updated this week
• triton-lang / kernels
  ☆79Updated 6 months ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• intel / torch-ccl
  oneCCL Bindings for Pytorch*
  ☆97Updated last month
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 2 months ago
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆48Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆156Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆251Updated 7 months ago
• spcl / daceml
  A Data-Centric Compiler for Machine Learning
  ☆83Updated last year