Repository Index

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

• attention
• chinese
• deep-learning
• from-scratch

Open-source software for exploring and analyzing large, high-dimensional image-derived data.

• cellprofiler-analyst
• cellprofiler
• image-analysis
• machine-learning

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.

• ai-engineering
• course
• data-engineering
• deep-learning

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

• nlp
• medical
• text-mining
• clinical-data-warehouse

Trading environnement for RL agents, backtesting and training.

• trading
• backtesting
• reinforcement-learning-agent
• reinforcement-learning

A tool for quantitative risk analysis of Android applications based on machine learning techniques

• android
• risk
• android-permissions
• quantitative-risk-analysis

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

• point-cloud
• deep-learning
• relocalization
• feature-learning

A tool for automatic phoneme transcription

• speech-recognition
• machine-learning
• acoustic-models
• artificial-intelligence

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

• self-attention
• compound-protein-interaction
• transformercpi
• structure-free-virtual-sreening

Safe Bayesian Optimization

• gaussian-processes
• optimization
• robotics
• reinforcement-learning

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

DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses

• agent-framework
• agentic-workflow
• aiforscience
• llm-agents

A tool for cell instance aware segmentation in densely packed 3D volumetric images

• segmentation
• deep-learning
• bioinformatics
• neural-network

Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.

• cheminformatics
• dft-calculations
• automation
• feature

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

• beamforming
• mmwave
• positioning
• 5g

Configure Python functions explicitly and safely

• hyperparameters
• machine-learning
• deep-learning
• python3

Axon/Myelin segmentation using Deep Learning

• deep-learning
• machine-learning
• myelin
• axon

Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0

• aloha
• flow-matching
• icra2026
• jax

Introduction to Deep Learning

Learning cell communication from spatial graphs of cells

• tensorflow
• gnn
• glm
• cvae

Library for machine learning stacking generalization.

• machine-learning

Build and deploy a serverless data pipeline on AWS with no effort.

• aws-cdk
• data-pipeline
• stepfunctions
• glue

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

• feature-engineering
• machine-learning
• feature
• features

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

• feature-engineering
• transformers
• pre-processing
• data-science