Alternatives and similar repositories for boolformer

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

• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆39Updated last year
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• google-deepmind / neural_networks_solomonoff_induction
  Learning Universal Predictors
  ☆81Updated last year
• kyegomez / swarms-pytorch
  Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
  ☆134Updated 3 weeks ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆193Updated last year
• epfml / DenseFormer
  ☆81Updated last year
• jxbz / agd
  Automatic gradient descent
  ☆215Updated 2 years ago
• google-deepmind / mishax
  ☆143Updated 2 months ago
• etimush / ARC_NCA
  Repo for solving arc problems with an Neural Cellular Automata
  ☆21Updated 5 months ago
• KhoomeiK / complexity-scaling
  gzip Predicts Data-dependent Scaling Laws
  ☆34Updated last year
• joshuacnf / Ctrl-G
  ☆104Updated 10 months ago
• robertvacareanu / llm4regression
  Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their…
  ☆156Updated last month
• geov-ai / geov
  The GeoV model is a large langauge model designed by Georges Harik and uses Rotary Positional Embeddings with Relative distances (RoPER).…
  ☆121Updated 2 years ago
• AllanYangZhou / universal_neural_functional
  ☆53Updated last year
• automix-llm / automix
  Mixing Language Models with Self-Verification and Meta-Verification
  ☆109Updated 11 months ago
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆103Updated 10 months ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• LucasPrietoAl / grokking-at-the-edge-of-numerical-stability
  ☆105Updated 3 months ago
• dvruette / barrel-rec-pytorch
  ☆53Updated last year
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago
• NousResearch / StripedHyenaTrainer
  ☆61Updated last year
• google-research / optformer
  ☆230Updated last week
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆224Updated 2 months ago
• PolymathicAI / xVal
  Repository for code used in the xVal paper
  ☆144Updated last year
• Oxen-AI / mamba-dive
  This is the code that went into our practical dive using mamba as information extraction
  ☆57Updated last year
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆41Updated last year
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• ml-jku / hopfield-boosting
  ☆33Updated last year
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆89Updated last year