cloneofsimo / insightful-nn-papers
These papers will provide unique insightful concepts that will broaden your perspective on neural networks and deep learning
☆47Updated last year
Alternatives and similar repositories for insightful-nn-papers:
Users that are interested in insightful-nn-papers are comparing it to the libraries listed below
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆73Updated 7 months ago
- ☆51Updated last year
- WIP☆93Updated 7 months ago
- ☆27Updated 10 months ago
- ☆34Updated 6 months ago
- ☆21Updated 9 months ago
- ☆33Updated 6 months ago
- ☆49Updated 4 months ago
- Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback☆27Updated last year
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆104Updated last month
- Flexibly track outputs and grad-outputs of torch.nn.Module.☆13Updated last year
- Gradient-Free Textual Inversion for Personalized Text-to-Image Generation☆40Updated 2 years ago
- JAX implementation ViT-VQGAN☆82Updated 2 years ago
- ☆75Updated 8 months ago
- Official codebase for Margin-aware Preference Optimization for Aligning Diffusion Models without Reference (MaPO).☆71Updated 9 months ago
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆68Updated 11 months ago
- Focused on fast experimentation and simplicity☆69Updated 2 months ago
- ☆13Updated 9 months ago
- ☆72Updated last year
- A JAX implementation of the continuous time formulation of Consistency Models☆84Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆122Updated 11 months ago
- CLOOB training (JAX) and inference (JAX and PyTorch)☆70Updated 2 years ago
- ☆32Updated 4 months ago
- ☆51Updated 9 months ago
- Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)☆37Updated last year
- Minimal Differentiable Image Reward Functions☆51Updated 2 weeks ago
- Model Stock: All we need is just a few fine-tuned models☆105Updated 5 months ago
- supporting pytorch FSDP for optimizers☆79Updated 3 months ago