Alternatives and similar repositories for Tiny-Stories-GPT

Users that are interested in Tiny-Stories-GPT are comparing it to the libraries listed below

• okarthikb / state-space-models
  ☆27Updated 10 months ago
• YuchenJin / llm.c
  LLM training in simple, raw C/CUDA
  ☆14Updated 6 months ago
• lucaslingle / mu_transformer
  Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.
  ☆30Updated last week
• tyler-romero / microR1
  Simple repository for training small reasoning models
  ☆31Updated 4 months ago
• KhoomeiK / complexity-scaling
  gzip Predicts Data-dependent Scaling Laws
  ☆35Updated last year
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆66Updated last month
• joey00072 / microjax
  Jax like function transformation engine but micro, microjax
  ☆32Updated 7 months ago
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆56Updated 3 weeks ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆82Updated last year
• srush / Tensor-Puzzles-Penzai
  ☆20Updated last year
• xjdr-alt / muzero_sketch
  ☆38Updated 10 months ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 4 months ago
• ClashLuke / tpucare
  Automatically take good care of your preemptible TPUs
  ☆36Updated 2 years ago
• PufferAI / PufferTank
  ☆38Updated last week
• evanatyourservice / llm-jax
  Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
  ☆17Updated 2 months ago
• charlesfrye / cuda-substrings
  Because it's there.
  ☆16Updated 8 months ago
• jfpuget / ARC-AGI-Challenge-2024
  ☆54Updated 6 months ago
• euclaise / supertrainer2000
  ☆49Updated last year
• tom-pollak / claudette-pydantic
  ☆9Updated 7 months ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆85Updated last month
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆100Updated 5 months ago
• dvruette / barrel-rec-pytorch
  ☆53Updated 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.
  ☆44Updated 10 months ago
• lucidrains / quartic-transformer
  Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)
  ☆51Updated 2 months ago
• NousResearch / StripedHyenaTrainer
  ☆60Updated last year
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆82Updated last year
• cloneofsimo / min-fsdp
  ☆78Updated 11 months ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆29Updated 4 years ago
• minosvasilias / simple_grpo
  Simple GRPO scripts and configurations.
  ☆58Updated 4 months ago
• epfml / DenseFormer
  ☆80Updated last year