#deep-learning

💫 Industrial-strength Natural Language Processing (NLP) in Python

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Graph Neural Networks in Julia

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

WildlifeDatasets: An open-source toolkit for animal re-identification

Effector - a Python package for global and regional effect methods

🤗 image matching webui

A multi-backend graph learning library.

Train Large Language Models on MLX.

Nx-powered Neural Networks

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

PyTorch Implementation of Google Research's MetNet and MetNet-2

Training/Fine-tuning at the speed of light

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Faster Whisper transcription with CTranslate2

An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)

Optical character recognition for Japanese text, with the main focus being Japanese manga

Visual storytelling for deep learning training runs.

CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测（Scene Text Detection）、数学公式检测（Mathematical Formula Detection, MFD）、篇章分析（Layout Analysis）的Python3 包

Stable Diffusion web UI

Search engine

Read Neural Networks and Deep Learning book chapters and pages as JSON from the command line

Optical character recognition for Japanese text, with the main focus being Japanese manga

Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML