머신러닝 · GitHub

source{d} datasets ("big code") for source code analysis and machine learning on source code

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Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Phase-Functioned Neural Networks for Character Control

Implementation of https://srush.github.io/annotated-s4

The official repository of the Eesen project

A faster implementation of PointNet++ based on PyTorch.

PyTorch API for GluonCV Models

Official PyTorch Implementation of EDGE (CVPR 2023)

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

Stanford NLP Python library for understanding and improving PyTorch models via interventions

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

An extension of XGBoost to probabilistic modelling

Formatted datasets for Machine Learning With R by Brett Lantz

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning