hl-henry

hl-henry's Stars

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.4k1.3k1003.6k

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python5.8k63492655

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.6k52131767

• dangkhoasdc/awesome-ai-residency

  List of AI Residency Programs

  3k4859268

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.8k1099434

• greshake/llm-security

  New ways of breaking app-integrated LLMs

  Language:Jupyter Notebook1.7k344109

• snap-stanford/GraphGym

  Platform for designing and evaluating Graph Neural Networks (GNN)

  Language:Python1.6k2246183

• facebookresearch/DomainBed

  DomainBed is a suite to test domain generalization algorithms

  Language:Python1.3k32102287

• facebookresearch/LAMA

  LAnguage Model Analysis

  Language:Python1.3k7147178

• DeepGraphLearning/graphvite

  GraphVite: A General and High-performance Graph Embedding System

  Language:C++1.2k32112149

• harvardnlp/pytorch-struct

  Fast, general, and tested differentiable structured prediction in PyTorch

  Language:Jupyter Notebook1.1k345592

• apptainer/apptainer

  Apptainer: Application containers for Linux

  Language:Go96630632124

• huawei-noah/trustworthyAI

  Trustworthy AI related projects

  Language:Python9152199209

• amber0309/Domain-generalization

  All about domain generalization

  825419125

• xunzheng/notears

  DAGs with NO TEARS: Continuous Optimization for Structure Learning

  Language:Python5662217128

• salesforce/PCL

  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

  Language:Python552172583

• logangraham/arXausality

  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

  Language:Python41271050

• facebookresearch/InvariantRiskMinimization

  PyTorch code to run synthetic experiments.

  Language:Python40016961

• HazyResearch/hyperbolics

  Hyperbolic Embeddings

  Language:Python365291263

• Wangt-CN/VC-R-CNN

  [CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''

  Language:Python351142361

• mfinzi/LieConv

  Language:Python25611633

• yue-zhongqi/ifsl

  [NeurIPS 2020] Released code for Interventional Few-Shot Learning

  Language:Python16471623

• mpatacchiola/self-supervised-relational-reasoning

  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

  Language:Python1418524

• authors-1901-10912/A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms

  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

  Language:Jupyter Notebook1232122

• nke001/causal_learning_unknown_interventions

  Code for "Neural causal learning from unknown interventions"

  Language:C987218

• g-benton/learning-invariances

  Codebase for Learning Invariances in Neural Networks

  Language:Jupyter Notebook927420

• capybaralet/REx_code_release

  Language:Jupyter Notebook64215

• FranxYao/Gumbel-CRF

  Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

  Language:Python56509

• deep-spin/lp-sparsemap

  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs

  Language:C++41758

• JamesHujy/ELV

  Language:Python20214