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Transformer for One-Stop Interpretable Cell-type Annotation
The POLAR Framework: polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly …
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
The geodata collection of the Ancient World Mapping Center in GeoJSON format.
📘 The MLOps stack component for experiment tracking
PyTorch code and models for the DINOv2 self-supervised learning method.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
basic code for the calculations of the paper Field theory for recurrent mobility
scikit-mobility: mobility analysis in Python
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
lat/lon, population, name of cities with over 1000 people from geonames.org
List of all city and country name with population number in json structure.