Alternatives and similar repositories for bert-in-context:

Users that are interested in bert-in-context are comparing it to the libraries listed below

• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆53Updated 4 months ago
• dmis-lab / Monet
  Monet: Mixture of Monosemantic Experts for Transformers
  ☆43Updated this week
• RobertCsordas / moeut
  ☆69Updated 4 months ago
• ml-jku / EVA
  One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
  ☆36Updated 3 months ago
• da03 / WildVisualizer
  ☆19Updated 3 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆66Updated 2 months ago
• zacharyhorvitz / Fk-Diffusion-Steering
  A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.
  ☆26Updated this week
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• epfml / DenseFormer
  ☆78Updated 9 months ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆80Updated 10 months ago
• wang-kee / LiNeS
  ☆23Updated 2 months ago
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆28Updated 6 months ago
• krypticmouse / matryoshka-representation-learning
  PyTorch implementation for MRL
  ☆18Updated 10 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆81Updated 2 months ago
• allenai / discoverybench
  Discovering Data-driven Hypotheses in the Wild
  ☆51Updated last month
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆52Updated last week
• catie-aq / flashT5
  A fast implementation of T5/UL2 in PyTorch using Flash Attention
  ☆75Updated this week
• KaiNylund / lm-weights-encode-time
  ☆67Updated 5 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆18Updated 2 months ago
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆119Updated this week
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆76Updated 7 months ago
• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆28Updated 2 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆90Updated last month
• KhoomeiK / complexity-scaling
  gzip Predicts Data-dependent Scaling Laws
  ☆33Updated 7 months ago
• arcee-ai / DAM
  ☆46Updated 2 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆18Updated last week
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆102Updated last month
• pchizhov / picky_bpe
  BPE modification that implements removing of the intermediate tokens during tokenizer training.
  ☆25Updated last month
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆46Updated last year
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆64Updated 5 months ago