Stars
Visualizer for neural network, deep learning and machine learning models
onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
Upload once to create multiple, relative PRs. Productivity-focused git tools with patch revision tracking, rebase detection and more. Uses python and git plumbing commands.
Official Code for DragGAN (SIGGRAPH 2023)
Instruct-tune LLaMA on consumer hardware
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
JSON (de)serialization, GraphQL and JSON schema generation using Python typing.
Create highly reproducible python environments
Publication-ready NN-architecture schematics.
An evaluation script based on the C/W/L framework that is TREC Compatible and provides a replacement for INST_EVAL, RBP_EVAL and TREC_EVAL
allRank is a framework for training learning-to-rank neural models based on PyTorch.
System design patterns for machine learning
A flake utility library to craft shell-, home-, and hosts- environments.
Declarative system configurations using nixOS, nix-darwin, and home-manager
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Pytorch domain library for recommendation systems
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Scalable training for dense retrieval models.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Toolbox of models, callbacks, and datasets for AI/ML researchers.