Alternatives and similar repositories for workshops

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

• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆339Updated last year
• markriedl / transformer-walkthrough
  A walkthrough of transformer architecture code
  ☆370Updated last year
• cosmic-cortex / neural-networks-from-scratch
  An implementation of convolutional networks in NumPy!
  ☆83Updated 4 years ago
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆138Updated 8 months ago
• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆164Updated 2 weeks ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆277Updated 4 years ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated 2 years ago
• EfficientDL / book
  PDFs and Codelabs for the Efficient Deep Learning book.
  ☆203Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆210Updated 4 years ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated last year
• automl-edu / AutoMLLecture
  Lecture on Automated Machine Learning
  ☆79Updated 2 years ago
• meta-pytorch / torchx
  TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…
  ☆411Updated this week
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆406Updated this week
• ckaestne / seai
  CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
  ☆441Updated 2 years ago
• openxla / xprof
  A profiling and performance analysis tool for machine learning
  ☆463Updated last week
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆117Updated 8 months ago
• microsoft / varuna
  ☆252Updated last year
• joelgrus / autograd
  coding an autograd from scratch
  ☆180Updated 7 years ago
• facebookresearch / FBTT-Embedding
  This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …
  ☆194Updated 3 years ago
• shreyansh26 / Annotated-ML-Papers
  Annotations of the interesting ML papers I read
  ☆273Updated last month
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆417Updated 3 years ago
• ray-project / ray_lightning
  Pytorch Lightning Distributed Accelerators using Ray
  ☆215Updated 2 years ago
• facebookresearch / recipes
  Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…
  ☆339Updated this week
• albanD / subclass_zoo
  ☆186Updated last year
• mlcommons / mlcube
  MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
  ☆158Updated 2 months ago
• pytorch / torcharrow
  High performance model preprocessing library on PyTorch
  ☆647Updated last year
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆279Updated 3 years ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆471Updated 3 years ago