Cylumn / qd-generative-samplingLinks
☆11Updated 2 years ago
Alternatives and similar repositories for qd-generative-sampling
Users that are interested in qd-generative-sampling are comparing it to the libraries listed below
Sorting:
- Fine-tuning Quantized Neural Networks with Zeroth-order Optimization☆14Updated 3 months ago
- ☆14Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆32Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.☆22Updated 4 years ago
- ☆19Updated last year
- [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …☆22Updated last year
- ☆27Updated 2 years ago
- MSP project: Latent Space Factorisation and Manipulation via Matrix Subspace Projection (ICML2020)☆14Updated 4 years ago
- Code for T-MARS data filtering☆35Updated 2 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 4 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆31Updated last year
- Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.☆16Updated 5 years ago
- Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.☆10Updated last year
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 6 years ago
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆14Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- A minimal re-implementation of orthogonal fine-tuning (OFT) for LLMs. Based on nanoGPT and minLoRA.☆13Updated 2 years ago
- Stochastic Optimization for Global Contrastive Learning without Large Mini-batches☆20Updated 2 years ago
- ☆34Updated 2 years ago
- This is the project for IRM methods☆13Updated 4 years ago
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆27Updated 10 months ago
- ☆25Updated 2 years ago
- ☆21Updated 5 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Updated 5 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated 2 years ago
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆36Updated 3 years ago