chenwuperth

rgz_rcnn

ClaRAN: A deep learning classifier for radio morphologies

sagemaker-dashboards-for-ml

TSP_Transformer

Code for TSP Transformer

attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-transit

Community list of transit APIs, apps, datasets, research, and software :bus::star2::train::star2::steam_locomotive:

Crash_course_on_RL

This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.

deeplogs

Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.

explainerdashboard

explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

gym-anm

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

highway-env

A minimalist environment for decision-making in autonomous driving

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

KDDCup2021-CityBrainChallenge-starter-kit

Learning-to-Optimize-Arxiv

The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.

learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (arXiv Pre-print)

LeuvenMapMatching

Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

MTGNN

or-gym

Environments for OR and RL Research

SEAL

Search Engines with Autoregressive Language models

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures

seismiqb

Seismic data interpretation with deep learning

SFD-CNN-TL

Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data -- Authors: Augusto Cunha, Axelle Pochet, Helio Lopes, Marcelo Gattass

shap

A game theoretic approach to explain the output of any machine learning model.

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Software.SEG2020

Software for SEG2020 abstracts

summarize-from-feedback

Code for "Learning to summarize from human feedback"

tianshou

An elegant PyTorch deep reinforcement learning platform.

Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

vllm-tgi

A high-throughput and memory-efficient inference and serving engine for LLMs customized for TGI container