Alternatives and similar repositories for es-lottery

Users that are interested in es-lottery are comparing it to the libraries listed below

• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆43Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆23Updated 6 months ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆21Updated 3 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆62Updated last year
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 3 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆50Updated 6 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆21Updated 2 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆45Updated 3 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆28Updated 4 years ago
• tianjunz / MADE
  ☆19Updated 4 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆41Updated 2 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆20Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• zdhNarsil / Distributional-GFlowNets
  Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".
  ☆13Updated last year
• yudasong / briee
  Representation Learning in RL
  ☆13Updated 3 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆18Updated 4 years ago
• FLAIROx / cultural-accumulation
  ☆15Updated last year
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆23Updated 4 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 3 years ago