Deep and Machine Learning for Microscopy
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The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
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
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.
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.
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
Configure Python functions explicitly and safely
Axon/Myelin segmentation using Deep Learning
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
:mega: Python library for audio augmentation
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Unsupervised Image to Image Translation with Generative Adversarial Networks
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.