MinghuiChen43 / awesome-deep-phenomenaLinks
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
☆376Updated this week
Alternatives and similar repositories for awesome-deep-phenomena
Users that are interested in awesome-deep-phenomena are comparing it to the libraries listed below
Sorting:
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆290Updated last year
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆200Updated 10 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated 11 months ago
- Neural Tangent Kernel Papers☆118Updated 9 months ago
- ☆240Updated last year
- Editing Models with Task Arithmetic☆508Updated last year
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆376Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆166Updated 4 months ago
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- ☆71Updated 10 months ago
- Code for coreset selection methods☆244Updated 2 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆345Updated 3 months ago
- A fast, effective data attribution method for neural networks in PyTorch☆220Updated 11 months ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆64Updated 7 months ago
- ☆236Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆375Updated 2 months ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆90Updated last week
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆315Updated 3 months ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆344Updated last year
- Pytorch code for experiments on Linear Transformers☆23Updated last year
- Compare neural networks by their feature similarity☆374Updated 2 years ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆56Updated 3 weeks ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- Template and style files for ICLR☆251Updated 2 months ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆343Updated last year
- Processed / Cleaned Data for Paper Copilot☆598Updated 2 weeks ago
- A curated list for awesome discrete diffusion models resources.☆476Updated last month
- Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".☆205Updated this week
- Reading list for research topics in state-space models☆329Updated 4 months ago