Alternatives and similar repositories for Next-Generation-AI-awesome:

Users that are interested in Next-Generation-AI-awesome are comparing it to the libraries listed below

• ZSHsh98 / MMD-MP
  This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR20…
  ☆41Updated 8 months ago
• ZSHsh98 / EPS-AD
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆37Updated 6 months ago
• UMass-Embodied-AGI / Mod-Squad
  ☆86Updated 2 years ago
• Cascol-Chen / COLA
  Code for NeurIPS 2024 paper — Cross-Device Collaborative Test-Time Adaptation
  ☆11Updated last month
• htyao89 / KgCoOp
  ☆93Updated last year
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆82Updated 5 months ago
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆76Updated 8 months ago
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆47Updated 2 months ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• DongSky / LPT
  ☆53Updated 2 years ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆180Updated last year
• Aboriginer / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆13Updated 2 months ago
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆75Updated last month
• Vanint / DatasetExpansion
  The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).
  ☆79Updated last year
• Purshow / Awesome-LVLM-Hallucination
  ☆47Updated 5 months ago
• didizhu-zju / Model-Tailor
  ☆23Updated 7 months ago
• BAAI-DCAI / Training-Data-Synthesis
  [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  ☆79Updated last year
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆181Updated last year
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆72Updated 3 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆102Updated 11 months ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆228Updated last year
• winycg / CLIP-KD
  [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation
  ☆111Updated 9 months ago
• Yangsenqiao / vida
  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  ☆63Updated last year
• zhengli97 / CTKD
  [AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
  ☆172Updated 4 months ago
• daixiangzi / Awesome-Token-Compress
  A paper list of some recent works about Token Compress for Vit and VLM
  ☆430Updated last week
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆128Updated 5 months ago
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆53Updated 2 years ago
• drivetosouth / SafeDialBench-Dataset
  Official github repo for SafeDialBench, a comprehensive multi-turn dialogue benchmark to evaluate LLMs' safety.
  ☆31Updated 2 months ago
• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆129Updated 4 months ago
• Jhyun17 / DeYO
  ☆17Updated 11 months ago