📚 Community guides for open source creators

A collection of resources and papers on Diffusion Models

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…

Real-time webcam demo with SmolVLM and llama.cpp server

ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.

The unofficial GitHub Cards. Card for your GitHub profile, card for your GitHub repositories.

A visual introduction to probability and statistics.

A curated list of awesome papers on dataset distillation and related applications.

Simply Statistics

Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"

All about the fundamentals and working of Diffusion Models

An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Splin…

ICLR2023 statistics

Deadline countdowns for academic conferences in Software Engineering

An implementation of several transfer learning algorithms

Data Point Selection for Line Chart Visualization: analysis notebooks and implementation details

Deadline countdowns for academic conferences in Data Mining