Alternatives and similar repositories for Compute-Trends

Users that are interested in Compute-Trends are comparing it to the libraries listed below

• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆38Updated 9 months ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated this week
• gpu-mode / popcorn-cli
  ☆87Updated this week
• ScalingIntelligence / good-kernels
  Samples of good AI generated CUDA kernels
  ☆99Updated 8 months ago
• UmerHA / triton_util
  Make triton easier
  ☆50Updated last year
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆20Updated last year
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆127Updated 3 months ago
• determined-ai / determined-examples
  Example ML projects that use the Determined library.
  ☆32Updated last year
• rasbt / pytorch-memory-optim
  This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…
  ☆92Updated 2 years ago
• foundation-model-stack / bamba
  Train, tune, and infer Bamba model
  ☆138Updated 7 months ago
• RiddleHe / llm-interp
  A collection of lightweight interpretability scripts to understand how LLMs think
  ☆89Updated last week
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 10 months ago
• CerebrasResearch / Sparse-IFT
  Official repository of Sparse ISO-FLOP Transformations for Maximizing Training Efficiency
  ☆25Updated last year
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆82Updated 2 years ago
• HazyResearch / train-tk
  train with kittens!
  ☆63Updated last year
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆87Updated 2 years ago
• google-research-datasets / tpu_graphs
  ☆129Updated last year
• groq / mlagility
  Machine Learning Agility (MLAgility) benchmark and benchmarking tools
  ☆40Updated 5 months ago
• mlcommons / training_policies
  Issues related to MLPerf™ training policies, including rules and suggested changes
  ☆95Updated 3 weeks ago
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆69Updated last year
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆139Updated 2 weeks ago
• Jokeren / triton-samples
  ☆28Updated last year
• aniquetahir / JORA
  JORA: JAX Tensor-Parallel LoRA Library (ACL 2024)
  ☆36Updated last year
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆114Updated last year
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 10 months ago
• abdelfattah-lab / nitro
  Lightweight Python Wrapper for OpenVINO, enabling LLM inference on NPUs
  ☆26Updated last year
• EugenHotaj / llm_parallelisms.c
  LLM training parallelisms (DP, FSDP, TP, PP) in pure C
  ☆26Updated 6 months ago
• facebookresearch / FAMBench
  Benchmarks to capture important workloads.
  ☆32Updated last week