Alternatives and similar repositories for AnyMolGenCritic

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

• timduignan / Scalable-Electrolyte-Simulation
  This repository contains the data and scripts necessary to reproduce the results presented in the paper: **"Scalable molecular simulation…
  ☆47Updated last year
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆132Updated last year
• flukeskywalker / nanoDD
  Simple Scalable Discrete Diffusion for text in PyTorch
  ☆34Updated 10 months ago
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 7 months ago
• pgniewko / forward_forward_vhts
  The Forward-Forward Algorithm for Drug Discovery
  ☆34Updated 2 years ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆50Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆99Updated last month
• carlosinator / tabasco
  A Fast, Simplified Model for Molecular Generation with Improved Physical Quality
  ☆14Updated 3 weeks ago
• lucidrains / gotennet-pytorch
  Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch
  ☆63Updated 4 months ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆114Updated 2 weeks ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• Lemon-cmd / energy-transformer-graph
  This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…
  ☆25Updated last year
• Algomancer / Bayesian-Flow-Networks
  A simple implimentation of Bayesian Flow Networks (BFN)
  ☆239Updated last year
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆172Updated 2 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 4 months ago
• idiap / sigma-gpt
  σ-GPT: A New Approach to Autoregressive Models
  ☆67Updated 11 months ago
• yobibyte / ml-drug-discovery-tldrs
  TLDRs for ML in Drug Discovery papers
  ☆71Updated 2 years ago
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆19Updated 6 months ago
• jfpuget / ARC-AGI-Challenge-2024
  ☆56Updated 8 months ago
• ElanaPearl / InterPLM
  Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
  ☆188Updated 6 months ago
• misko / human_descent
  ☆38Updated 8 months ago
• vandijklab / Intelligence_at_the_edge_of_chaos
  ☆57Updated 5 months ago
• mcbal / spin-model-transformers
  Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
  ☆41Updated last year
• srush / anynp
  Proof-of-concept of global switching between numpy/jax/pytorch in a library.
  ☆18Updated last year
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆50Updated 4 months ago
• Future-House / ldp
  Framework enabling modular interchange of language agents, environments, and optimizers
  ☆101Updated this week
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆93Updated 5 months ago
• Future-House / aviary
  A language agent gym with challenging scientific tasks
  ☆198Updated this week
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated last year
• wiseodd / lapeft-bayesopt
  Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
  ☆19Updated last year