Alternatives and similar repositories for dunl-compneuro

Users that are interested in dunl-compneuro are comparing it to the libraries listed below

• Mayo-Radiology-Informatics-Lab / conflare
  This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
  ☆19Updated last year
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆22Updated last year
• lamm-mit / LifeGPT
  ☆53Updated this week
• benediktstroebl / agent-evals
  ☆21Updated last month
• RobertRosenbaum / Torch2PC
  Software for using predictive coding algorithms to train PyTorch models.
  ☆25Updated last year
• cambridge-mlg / jolt
  ☆11Updated 4 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated last year
• MontrealAI / AGI-Agent-v0
  A minimal yet unstoppable blueprint for multi-agent AI—anchored by the rare, far-reaching “Multi-Agent AI DAO” (2017 Prior Art)—empowerin…
  ☆27Updated 5 months ago
• andrew-silva / clean-rl-mlx
  Clean RL implementation using MLX
  ☆32Updated last year
• Animadversio / GPT-Auto-Data-Analytics
  Automatize local data analysis with team of tool-using GPT agents
  ☆12Updated last year
• apartresearch / Neuron2Graph
  Tools for exploring Transformer neuron behaviour, including input pruning and diversification.
  ☆20Updated last year
• hadivafaii / IterativeVAE
  Brain-like variational inference
  ☆51Updated last month
• SamsungSAILMontreal / nino
  Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]
  ☆19Updated last month
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 5 months ago
• smearle / autoverse
  Generative cellular automaton-like learning environments for RL.
  ☆19Updated 4 months ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆35Updated 10 months ago
• myazdani / formal-algorithms-for-transformers
  PyTorch implementation of algorithms in https://arxiv.org/abs/2207.09238
  ☆14Updated 2 years ago
• MrPio / KAN-Continual_Learning_tests
  Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
  ☆39Updated 4 months ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆24Updated 8 months ago
• captain-pool / hydra-example
  ☆21Updated 3 years ago
• Shalev-Lifshitz / MultiAgentVerification
  Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
  ☆19Updated 3 months ago
• williamgilpin / shrec
  Reconstructing shared causal drivers from noisy time series
  ☆54Updated 8 months ago
• lean-dojo / LeanAgent
  LeanAgent is a novel lifelong learning framework for formal theorem proving that continuously generalizes to and improves on ever-expandi…
  ☆26Updated 2 weeks ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆72Updated 2 years ago
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated last year
• neuroailab / lr-identify
  A large database of artificial neural network statistics during training
  ☆15Updated 4 years ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• NVlabs / gbrl_sb3
  GBRL-based Actor-Critic algorithms implemented in stable-baselines3
  ☆35Updated 3 weeks ago
• brantondemoss / GrokkingComplexity
  Code for
  ☆27Updated 6 months ago
• francoisfleuret / dlc
  ☆41Updated 6 months ago