Alternatives and similar repositories for NeuralScaleID:

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

• LCS2-IIITD / TransEvolve
  ☆11Updated 3 years ago
• locuslab / ase
  Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…
  ☆11Updated 4 years ago
• lucidrains / learning-to-expire-pytorch
  An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
  ☆33Updated 4 years ago
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• stevenxcao / subnetwork-probing
  ☆13Updated 3 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 4 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• guoyongcs / NATv2
  Implementation for NATv2.
  ☆23Updated 4 years ago
• wellecks / symbolic_generalization
  Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics (AAAI 2022)
  ☆14Updated 3 years ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆15Updated 3 years ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆23Updated last year
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆24Updated 4 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 3 years ago
• Holmeswww / PPOGAN
  ☆24Updated 11 months ago
• EleutherAI / equivariance
  A framework for implementing equivariant DL
  ☆10Updated 3 years ago
• alexnowakvila / DiCoNet
  ☆11Updated 7 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆17Updated 6 months ago
• gd-zhang / noisy-quadratic-model
  Large-batch Training, Neural Network Optimization
  ☆9Updated 5 years ago
• facebookresearch / dmae_st
  Directed masked autoencoders
  ☆14Updated 2 years ago
• archinetai / vat-pytorch
  Virtual Adversarial Training (VAT) techniques in PyTorch
  ☆17Updated 2 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• antofuller / configaformers
  A python library for highly configurable transformers - easing model architecture search and experimentation.
  ☆49Updated 3 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆18Updated 4 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago