gerritgr

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

loguru

Python logging made (stupidly) simple

litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

outlines

Structured Text Generation

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

instagraph

Converts text input or URL into knowledge graph and displays

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

Awesome-Graph-LLM

A collection of AWESOME things about Graph-Related LLMs.

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

scGPT

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

chroma

A generative model for programmable protein design

Causality4NLP_Papers

A reading list for papers on causality for natural language processing (NLP)

Awesome-LLMs-in-Graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

lagrangian_nns

Lagrangian Neural Networks

OpenBioLink

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

awesome-deep-learning-4-life-sciences

A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).

SyntheMol

Combinatorial antibiotic generation

typedb-bio

TypeDB Bio: Biomedical Knowledge Graph

Spatio-temporal-Diffusion-Point-Processes

A diffusion-based framework for spatio-temporal point processes

LLM4ScientificDiscovery

Call for participation in the impact of LLM for scientific discovery

Spatio-Temporal-Point-Process-Simulator

A Spatio-temporal point process simulator.

gnn-matlang

Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021

Reinforcement-Learning-of-Spatio-Temporal-Point-Processes

A general framework for learning spatio-temporal point processes via reinforcement learning

GraphGDP

Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation

counterfactual-tpp

Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022

BREC

DR-FWL-2

sinot

In this project I created python scripts and functions to simulate n of 1 studies based on given parameters