Alternatives and similar repositories for ml-cross-entropy

Users that are interested in ml-cross-entropy are comparing it to the libraries listed below

• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆529Updated 2 months ago
• pytorch-labs / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆876Updated this week
• haoliuhl / ringattention
  Large Context Attention
  ☆718Updated 5 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆255Updated last week
• NVIDIA-NeMo / RL
  Scalable toolkit for efficient model reinforcement
  ☆499Updated this week
• apple / ml-sigmoid-attention
  ☆290Updated 2 months ago
• zyushun / Adam-mini
  Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793
  ☆429Updated 2 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆560Updated this week
• KellerJordan / Muon
  Muon is an optimizer for hidden layers in neural networks
  ☆1,092Updated this week
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆382Updated 3 weeks ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆341Updated 7 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆535Updated last week
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆396Updated 8 months ago
• fla-org / native-sparse-attention
  🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
  ☆725Updated 3 months ago
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆318Updated 2 months ago
• fla-org / flame
  🔥 A minimal training framework for scaling FLA models
  ☆188Updated last month
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆243Updated 5 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆184Updated 7 months ago
• lucidrains / native-sparse-attention-pytorch
  Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
  ☆668Updated last month
• huggingface / picotron_tutorial
  ☆200Updated 5 months ago
• goombalab / hnet
  H-Net: Hierarchical Network with Dynamic Chunking
  ☆115Updated this week
• NVlabs / hymba
  ☆181Updated 7 months ago
• Haiyang-W / TokenFormer
  [ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
  ☆564Updated 5 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆207Updated this week
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆288Updated last week
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆344Updated 8 months ago
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆802Updated 2 weeks ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆237Updated last month
• XunhaoLai / native-sparse-attention-triton
  Efficient triton implementation of Native Sparse Attention.
  ☆175Updated last month
• lucidrains / nGPT-pytorch
  Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI
  ☆287Updated last month