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A generative world for general-purpose robotics & embodied AI learning.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
On-device AI across mobile, embedded and edge for PyTorch
Tips for Writing a Research Paper using LaTeX
🚀 A fast WebAssembly interpreter and the most universal WASM runtime
🪄 Create rich visualizations with AI
An R package for creating and exploring word2vec and other word embedding models
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
Entropy Based Sampling and Parallel CoT Decoding
An open-source RAG-based tool for chatting with your documents.
Create beautiful diagrams just by typing notation in plain text.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
Typer, build great CLIs. Easy to code. Based on Python type hints.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Efficient Triton Kernels for LLM Training
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.