Alternatives and similar repositories for orw-cfm

Users that are interested in orw-cfm are comparing it to the libraries listed below

• consciousness-lab / ctm-ai
  A platform to develop CTM-motivated AI architecture.
  ☆13Updated this week
• mila-iqia / Design-Editing-for-Offline-MBO
  [TMLR 2025 & ICLR 2025 DeLTa] Official Implementation of Design Editing for Offline Model-based Optimization 🧬 🤖
  ☆10Updated last month
• tmlr-group / MC-GRA
  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
  ☆34Updated last year
• MingyuJ666 / ProLLM
  [COLM'24] We propose Protein Chain of Thought (ProCoT), which replicates the biological mechanism of signaling pathways as language promp…
  ☆62Updated 2 months ago
• AndrewZhou924 / MC-GRA
  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
  ☆25Updated last year
• haoyangliu123 / awesome-deepseek-r1
  A collection on the recent reproduction papers and projects on DeepSeek-R1
  ☆30Updated 3 months ago
• Applied-Math-Seminar / Applied-Math-Seminar
  ☆39Updated this week
• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆462Updated 8 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆178Updated this week
• lhydave / AIM-textbook
  北京大学《AI中的数学》课程教科书
  ☆22Updated this week
• XueruiSu / Reproduce-DeepSeek-R1-Survey
  This repository collects various works that reproduce DeepSeek R1, as well as works related to DeepSeek R1 and the DeepSeek series.
  ☆16Updated last month
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆36Updated last month
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆126Updated last month
• kuleshov-group / mdlm
  [NeurIPS 2024] Simple and Effective Masked Diffusion Language Model
  ☆398Updated last month
• 2019ChenGong / DPImageBench
  DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.
  ☆18Updated 3 weeks ago
• papercopilot / paperlists
  Processed / Cleaned Data for Paper Copilot
  ☆492Updated this week
• qingjiesjtu / USC
  This is the code repository of our submission: Understanding the Dark Side of LLMs’ Intrinsic Self-Correction.
  ☆56Updated 5 months ago
• MinkaiXu / AliDiff
  NeurIPS24: Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
  ☆36Updated 2 months ago
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆349Updated this week
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆28Updated 6 months ago
• ThreeSR / Awesome-Inference-Time-Scaling
  Paper List of Inference/Test Time Scaling/Computing
  ☆246Updated this week
• ZO-Bench / ZO-LLM
  [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆104Updated 11 months ago
• divelab / GOOD
  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
  ☆196Updated 3 months ago
• guanchuwang / Taylor-Unswift
  ☆23Updated 8 months ago
• linhaowei1 / TFG-Flow
  👌[ICLR 2025] TFG-Flow: Training-free Guidance in Multimodal Generative Flow
  ☆10Updated 3 months ago
• Wu-Zongyu / LanP
  Official Implementation of 'Lanp: Rethinking the Impact of Language Priors in Large Vision-Language Models'
  ☆10Updated 3 months ago
• RicercarG / NYU-Greene-HPC-Cheatsheet
  A beginner guide for getting started with nyu greene hpc
  ☆42Updated last week
• plll4zzx / Awesome-LLM-Watermark
  A collection list for Large Language Model (LLM) Watermark
  ☆25Updated 3 months ago
• insuhan / ntk-sketch-rf
  Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
  ☆13Updated 3 years ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆55Updated last year