Stars
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
LLM training code for Databricks foundation models
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip
🕑 Modern Timeline Component for React
State-of-the-Art Text Embeddings
A blazing fast inference solution for text embeddings models
An extremely fast Python package and project manager, written in Rust.
🗺 High Quality GeoJSON maps programmatically generated.
A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.
Extended geographic projections for d3-geo.
Natural Earth data in GeoJSON
Robust recipes to align language models with human and AI preferences
SGLang is a fast serving framework for large language models and vision language models.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Helpers and such for working with Lambda Cloud
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
A collection of (mostly) technical things every software developer should know about
🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!