DavyMorgan/llm-graph-probing
A toolbox for learning neural topology of LLMs
AI Research Scientist at Meta
Repositories
DavyMorgan/ICDE20-PUP
DavyMorgan/claude-code-source-code
Claude Code v2.1.88 Source Code
DavyMorgan/openevolve
Open-source implementation of AlphaEvolve
DavyMorgan/selinda
Self-inductive AI
DavyMorgan/build-your-claude-code-from-scratch
Build a Claude Code–like CLI coding agent from scratch.
DavyMorgan/ADRS-Leaderboard
Evaluation for ADRS tasks
DavyMorgan/gepa
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
DavyMorgan/ShinkaEvolve
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution
DavyMorgan/autoevolve
DavyMorgan/DiseCTR
DavyMorgan/dps
data process service
DavyMorgan/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
DavyMorgan/UniST
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
DavyMorgan/CheXNet
Website for CheXNet
DavyMorgan/InvariantRiskMinimization
PyTorch code to run synthetic experiments.
DavyMorgan/awesome-causality-algorithms
An index of algorithms for learning causality with data
DavyMorgan/SIGIR21-SURGE
Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
DavyMorgan/invariant-risk-minimization
Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
DavyMorgan/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
DavyMorgan/circuit_training
DavyMorgan/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DavyMorgan/xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.