Alternatives and similar repositories for hack-SysML

Users that are interested in hack-SysML are comparing it to the libraries listed below

• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆459Updated last year
• mlc-ai / mlc-zh
  ☆619Updated last year
• PKU-DAIR / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training.
  ☆327Updated 3 months ago
• ConnollyLeon / awesome-Auto-Parallelism
  A baseline repository of Auto-Parallelism in Training Neural Networks
  ☆147Updated 3 years ago
• Sunt-ing / stick
  A PyTorch-like deep learning framework. Just for fun.
  ☆156Updated 2 years ago
• lambda7xx / awesome-AI-system
  paper and its code for AI System
  ☆337Updated 3 months ago
• MLSys-Learner-Resources / Awesome-MLSys-Blogger
  The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)
  ☆300Updated 10 months ago
• LLMServe / DistServe
  Disaggregated serving system for Large Language Models (LLMs).
  ☆729Updated 7 months ago
• eedalong / ECE408
  Code base and slides for ECE408：Applied Parallel Programming On GPU.
  ☆137Updated 4 years ago
• AmadeusChan / Awesome-LLM-System-Papers
  ☆610Updated 6 months ago
• kwai / Megatron-Kwai
  [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…
  ☆66Updated last year
• galeselee / Awesome_LLM_System-PaperList
  Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…
  ☆279Updated 8 months ago
• Oneflow-Inc / DLPerf
  DeepLearning Framework Performance Profiling Toolkit
  ☆294Updated 3 years ago
• Shenggan / awesome-distributed-ml
  A curated list of awesome projects and papers for distributed training or inference
  ☆250Updated last year
• flagos-ai / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆763Updated this week
• antgroup / glake
  GLake: optimizing GPU memory management and IO transmission.
  ☆489Updated 7 months ago
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆650Updated this week
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆478Updated last year
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆560Updated 2 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆112Updated 4 months ago
• Tencent / KsanaLLM
  ☆512Updated 2 months ago
• ifromeast / cuda_learning
  learning how CUDA works
  ☆338Updated 8 months ago
• mlc-ai / notebooks
  ☆210Updated last year
• PaddleJitLab / CUDATutorial
  A self-learning tutorail for CUDA High Performance Programing.
  ☆767Updated 4 months ago
• LiebingYu / tinyflow
  A simple deep learning framework that supports automatic differentiation and GPU acceleration.
  ☆59Updated 2 years ago
• Hsword / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …
  ☆123Updated last year
• alibaba / TePDist
  TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.
  ☆97Updated 2 years ago
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆578Updated last year
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆435Updated 6 months ago
• XiaoSong9905 / CUDA-Optimization-Guide
  Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]
  ☆318Updated 3 years ago