Stars
LLM abstractions that aren't obstructions
NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retri…
A course on aligning smol models.
rwightman / py-lmdb
Forked from jnwatson/py-lmdbUniversal Python binding for the LMDB 'Lightning' Database
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! 🦥
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Existing Literature about Machine Unlearning
Starting kit for the NeurIPS 2023 unlearning challenge
jax-triton contains integrations between JAX and OpenAI Triton
Development repository for the Triton language and compiler
Source files for the book "Bayesian Workflow Using Stan"
A collection of research papers and software related to explainability in graph machine learning.
A community-maintained Python framework for creating mathematical animations.
Easy benchmarking of machine learning models with sklearn interface with statistical tests built-in.
Graph Neural Network Library for PyTorch
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.