Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Repository Index
47,133 repositories indexed
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Tools for computational pathology
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
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.
Deep and Machine Learning for Microscopy
PyTorch Connectomics: segmentation toolbox for EM connectomics
基于 PatchCore 的工业异常检测项目，研究 layer2/layer3 分数融合、敏感性引导收缩与风险受控门控，并提供 Streamlit 工程化 Demo。
A simple, flexible, and extensible template for PyTorch. It's beautiful.
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.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
An Easy To Use PyTorch Computer Vision Library
MCP server for spatial transcriptomics analysis through natural language interfaces.
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
Tool for suggesting lemma names in Coq verification projects
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.