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.
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
Maze Applied Reinforcement Learning Framework
基于深度学习的12306验证码识别
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
- ros
- ros-kinetic
- ros-packages
- rviz
Automated 3D cell detection in very large images
Deep and Machine Learning for Microscopy
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
- shapley
- shapley-value
- owen
- voting-classifier
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers, with compute-matched benchmarking and a platform for autonomous architecture research.
PyTorch Connectomics: segmentation toolbox for EM connectomics
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
A simple, flexible, and extensible template for PyTorch. It's beautiful.
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
- nlp
- medical
- text-mining
- clinical-data-warehouse
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
- gnn
- graph-neural-netowrks
- signed-networks
- directed-networks
A tool for cell instance aware segmentation in densely packed 3D volumetric images
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
- beamforming
- mmwave
- positioning
- 5g
Configure Python functions explicitly and safely
Axon/Myelin segmentation using Deep Learning