Alternatives and similar repositories for science4cast

Users that are interested in science4cast are comparing it to the libraries listed below

• artificial-scientist-lab / FutureOfAIviaAI
  Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
  ☆78Updated last year
• artificial-scientist-lab / Impact4Cast
  Forecasting high-impact research topics via machine learning on evolving knowledge graphs
  ☆38Updated 2 months ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated 2 years ago
• artemyk / redundancy
  ☆8Updated last year
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆65Updated 3 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• OpenBioLink / ITO
  Intelligence Task Ontology (ITO)
  ☆74Updated 2 years ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆138Updated last year
• RewardReports / reward-reports
  Documentation for dynamic machine learning systems.
  ☆29Updated 10 months ago
• ejmichaud / precision-ml
  ☆13Updated 2 years ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆38Updated 11 months ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆50Updated 5 years ago
• ericmjl / score-models
  In which I learn about score functions and how they can be used to generate data.
  ☆16Updated last year
• panaali / word2ket
  Word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
  ☆52Updated 5 years ago
• google-deepmind / neural_testbed
  ☆192Updated 3 weeks ago
• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated last year
• christopher-beckham / coms-are-energy-models
  Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model
  ☆14Updated last year
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆15Updated 5 months ago
• smeznar / HVAE
  An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.
  ☆28Updated last week
• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 years ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆22Updated 4 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆102Updated 5 months ago
• sagemanifolds / IntroToManifolds
  Andrzej Chrzeszczyk's introduction to manifolds in SageMath
  ☆8Updated 2 years ago
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆29Updated last year
• tomerwolgithub / question-decomposition-to-sql
  Weakly Supervised Text-to-SQL Parsing through Question Decomposition
  ☆22Updated last year
• IBM / neuro-symbolic-ai
  Neuro-Symbolic AI Toolkit
  ☆92Updated last year