Alternatives and similar repositories for adamw_bfloat16

Users that are interested in adamw_bfloat16 are comparing it to the libraries listed below

• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆50Updated 3 years ago
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆56Updated this week
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆35Updated 2 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• lucidrains / rela-transformer
  Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012
  ☆49Updated 3 years ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆44Updated 2 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• google-research / precondition
  ☆31Updated last month
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆37Updated last year
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• codekansas / rwkv
  RWKV model implementation
  ☆38Updated 2 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 2 years ago
• CHARM-Tx / linear_mem_attention_pytorch
  Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch
  ☆12Updated 3 years ago
• crowsonkb / LDLM
  Latent Diffusion Language Models
  ☆68Updated last year
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 2 years ago
• 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
• fattorib / transformer_shmap
  Tensor Parallelism with JAX + Shard Map
  ☆11Updated last year
• davisyoshida / abnormal-floats
  Code for the note "NF4 Isn't Information Theoretically Optimal (and that's Good)
  ☆19Updated 2 years ago
• bentherien / mu_learned_optimization
  [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers
  ☆13Updated 4 months ago
• BlinkDL / SmallInitEmb
  LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence
  ☆59Updated 3 years ago
• crowsonkb / torch-dist-utils
  Utilities for PyTorch distributed
  ☆24Updated 4 months ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆16Updated 3 years ago
• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated 2 years ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• NathanGodey / headless-lm
  Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…
  ☆27Updated last year
• pytorch / maskedtensor
  MaskedTensors for PyTorch
  ☆38Updated 3 years ago
• lucidrains / product-key-memory
  Standalone Product Key Memory module in Pytorch - for augmenting Transformer models
  ☆82Updated 11 months ago
• alvarobartt / safejax
  Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`
  ☆45Updated last year