ElieAntoine's Stars
moonbitlang/moonbit-compiler
Genesis-Embodied-AI/Genesis
A generative world for general-purpose robotics & embodied AI learning.
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
pytorch/executorch
On-device AI across mobile, embedded and edge for PyTorch
Holmes-Benchmark/holmes-evaluation
guanyingc/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
wasm3/wasm3
🚀 A fast WebAssembly interpreter and the most universal WASM runtime
run-ai/runai-model-streamer
microsoft/data-formulator
🪄 Create rich visualizations with AI
bmschmidt/wordVectors
An R package for creating and exploring word2vec and other word embedding models
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
google-deepmind/treescope
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
xjdr-alt/entropix
Entropy Based Sampling and Parallel CoT Decoding
SapienzaNLP/maverick-coref
Cinnamon/kotaemon
An open-source RAG-based tool for chatting with your documents.
penrose/penrose
Create beautiful diagrams just by typing notation in plain text.
cupy/cupy
NumPy & SciPy for GPU
voideditor/void
zml/zml
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
fastapi/typer
Typer, build great CLIs. Easy to code. Based on Python type hints.
weaviate/weaviate
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 a cloud-native database.
McGill-NLP/llm2vec
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
urchade/GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
AnswerDotAI/rerankers
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
EleutherAI/cookbook
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
karpathy/llm.c
LLM training in simple, raw C/CUDA