Alternatives and similar repositories for fce-2d:

Users that are interested in fce-2d are comparing it to the libraries listed below

• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 weeks ago
• take-koshizuka / NLSB
  ☆19Updated last month
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• noamroze / moser_flow
  ☆16Updated 3 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆16Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• GFNOrg / gfn-diffusion
  ☆24Updated 2 weeks ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆22Updated last year
• ratschlab / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 3 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆31Updated 7 months ago
• tung-nd / ExPT
  ☆16Updated last year
• ermongroup / dre-infinity
  Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
  ☆18Updated 3 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆28Updated last month
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 11 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆15Updated 5 months ago
• MichaelArbel / MMD-gradient-flow
  ☆12Updated 8 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆27Updated 8 months ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• cyz-ai / neural-approx-ss-lfi
  Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
  ☆19Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆24Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆40Updated last year
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆20Updated last year
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 4 years ago
• Qualcomm-AI-research / weakly-supervised-causal-representation-learning
  ☆28Updated last year
• saleml / continuous-gfn
  ☆24Updated last year
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago