wyddfrank

awesome-large-graph-model

Papers about large graph models.

LLMAgentPapers

Must-read Papers on LLM Agents.

alphazero-gym

AlphaZero for continuous control tasks

patchcore-inspection

maskplace

MacroPlacement

Macro Placement - benchmarks, evaluators, and reproducible results from leading methods in open source

pyro2

A framework for hydrodynamics explorations and prototyping

RePlAce

RePlAce global placement tool

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

EDA-AI

Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".

BPP

PathwayGNN: work on the data extracting from Reactome

zhang-shasha

Tree edit distance using the Zhang Shasha algorithm

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-kgqa

A collection of some materials of knowledge graph question answering

Knowledge-Graph-Tutorials-and-Papers

Insightful Tutorials and Papers about Knowledge Graphs

e3_diffusion_for_molecules

pt-dec

PyTorch implementation of DEC (Deep Embedding Clustering)

awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

graphframes

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

BERT-NER

Pytorch-Named-Entity-Recognition-with-BERT

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

go-ontology

Source ontology files for the Gene Ontology

chembl_webresource_client

Official Python client for accessing ChEMBL API

DTINet

A Network Integration Approach for Drug-Target Interaction Prediction