Alternatives and similar repositories for ai_sprint_paris

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

• meta-pytorch / monarch
  PyTorch Single Controller
  ☆423Updated this week
• m-a-n-i-f-e-s-t / power-attention
  Attention Kernels for Symmetric Power Transformers
  ☆115Updated 3 weeks ago
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆167Updated 2 months ago
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆121Updated 2 weeks ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆142Updated last year
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆57Updated this week
• meta-pytorch / BackendBench
  How to ensure correctness and ship LLM generated kernels in PyTorch
  ☆58Updated last week
• nebius / kvax
  A FlashAttention implementation for JAX with support for efficient document mask computation and context parallelism.
  ☆141Updated 5 months ago
• AllanYangZhou / midGPT
  Distributed pretraining of large language models (LLMs) on cloud TPU slices, with Jax and Equinox.
  ☆24Updated 11 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆81Updated last year
• jax-ml / jax-llm-examples
  Minimal yet performant LLM examples in pure JAX
  ☆160Updated this week
• divyamakkar0 / JAXformer
  A zero-to-one guide on scaling modern transformers with n-dimensional parallelism.
  ☆91Updated 3 weeks ago
• pyember / ember
  ☆224Updated 3 months ago
• daniel-geon-park / triton_bwd
  Automatic differentiation for Triton Kernels
  ☆11Updated last month
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆59Updated this week
• PrimeIntellect-ai / pi-quant
  SIMD quantization kernels
  ☆87Updated 2 weeks ago
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆66Updated 3 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆101Updated 8 months ago
• Noumena-Network / NSA-Test
  NSA Triton Kernels written with GPT5 and Opus 4.1
  ☆65Updated last month
• google / tunix
  A JAX-native LLM Post-Training Library
  ☆150Updated this week
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆22Updated 3 weeks ago
• modula-systems / modula
  🧱 Modula software package
  ☆239Updated last month
• google-deepmind / nanodo
  ☆281Updated last year
• Jaykef / Triton-nanoGPT
  Custom triton kernels for training Karpathy's nanoGPT.
  ☆19Updated 11 months ago
• martin-marek / batch-size
  📄Small Batch Size Training for Language Models
  ☆62Updated 3 weeks ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆84Updated this week
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆98Updated 6 months ago
• kuterd / opal_ptx
  Experimental GPU language with meta-programming
  ☆23Updated last year
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆129Updated 9 months ago
• axonn-ai / axonn
  A parallel framework for training deep neural networks
  ☆63Updated 6 months ago