allRank is a framework for training learning-to-rank neural models based on PyTorch.
- learning-to-rank
- ndcg
- ranking
- information-retrieval
Repository Index
47,133 repositories indexed
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A uniform interface to run deep learning models from multiple frameworks
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
- go
- onnx
- neural-network
- open-source
The foundation layer for agentic intelligence.
Data API Framework for AI Agents and Data Apps
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android
- vulkan
- raytracing
- graphics-engine
- graphics-library
The AI agent that lives in your framework/browser
The MobileNet neural network using Apple's new CoreML framework
- core-ml
- machine-learning
- mobilenet
- ios
Framework and Library for Distributed Online Machine Learning
- machine-learning
- c-plus-plus
- ml
- distributed
ROS-based framework and RPi image to control PX4-powered drones 🍀
- ros
- px4
- mavros
- aruco
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
The .NET library to build AI agents with 30+ built-in connectors.
- agent-framework
- agent-orchestration
- orchestration
- multi-agent
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
- tensorlayerx
- tensorlayer
- tensorflow
- paddlepaddle
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-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.
- deep-learning
- agriculture
- pytorch
- dataset
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks
- ai-agents
- speech-to-text
- text-to-speech
- voice-agents
Maze Applied Reinforcement Learning Framework
Pytorch framework for doing deep learning on point clouds.
The Deep Learning training framework on Spark