#deep-learning

Statistical Machine Intelligence & Learning Engine

Tools for handling multimodal data in machine learning projects.

Neural Network primitives with multiple backends

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+.

Train Large Language Models on MLX.

Fast inference engine for Transformer models

Cloud native, scalable storage engine for various types of energy data.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Deep universal probabilistic programming with Python and PyTorch

A library for doing homomorphic encryption operations on tensors

⚡ A seamless integration of HuggingFace Transformers & Diffusers with RBLN SDK for efficient inference on RBLN NPUs.

Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.

🚀 A high-performance C++ library for robust mesh input/output across numerous formats. This project serves as the ultimate "Swiss Army knife" for mesh manipulation workflows, providing blazing-fast and reliable data handling.

The scikit-learn-native foundation package for chemometrics 🧪 🤖

PyTorch model profiler for computing MACs and parameter counts to measure deep learning model complexity.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

A high-level machine learning and deep learning library for the PHP language.

A toolkit for evaluating and monitoring AI models in clinical settings

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Making large AI models cheaper, faster and more accessible

OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.

Visualizer for neural network, deep learning and machine learning models

An open source implementation of CLIP.

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

Vietnamese TTS with instant voice cloning • On-device • Real-time CPU inference • 48kHz audio quality • Chuyển văn bản thành giọng nói tiếng Việt • Text to speech tiếng Việt • TTS tiếng Việt

Crater is a cloud-native AI training & inference platform.

Make drawing and labeling bounding boxes a piece of cake

Any PyTorch model to NNEF exchange format

Lumerico's Comprehensive Interface for Deep Learning

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.