dylanashley / story-distiller

Related projects ⓘ

Alternatives and complementary repositories for story-distiller

• jxbz / entropix
  📰 Computing the information content of trained neural networks
  ☆21Updated 3 years ago
• RandallBalestriero / SplineLLM
  ☆14Updated 11 months ago
• RapidResponseBench / rapidresponsebench
  ☆17Updated last week
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆17Updated 2 weeks ago
• google-deepmind / alta
  ☆15Updated last month
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆24Updated last year
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆23Updated 3 years ago
• shauli-ravfogel / adv-kernel-removal
  ☆11Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• kyegomez / MM1
  PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
  ☆23Updated last week
• ethz-spylab / superhuman-ai-consistency
  ☆28Updated last year
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆15Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆18Updated last year
• tianyu139 / meaning-as-trajectories
  Official PyTorch Implementation for Meaning Representations from Trajectories in Autoregressive Models (ICLR 2024)
  ☆17Updated 6 months ago
• EleutherAI / w2s
  ☆18Updated last month
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated 5 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆16Updated last week
• ml-jku / subgd
  Code for "Few-Shot Learning by Dimensionality Reduction in Gradient Space"
  ☆14Updated last year
• codekansas / rwkv
  RWKV model implementation
  ☆38Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆18Updated last month
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated last year
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆30Updated 4 months ago
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆34Updated last year
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆47Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆57Updated last year
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆56Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 2 months ago
• facebookresearch / coocmap
  code for paper "Accessing higher dimensions for unsupervised word translation"
  ☆21Updated last year
• allenai / sso
  Repository for Skill Set Optimization
  ☆12Updated 3 months ago