JFChi

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gdrive

Google Drive CLI Client

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

moco

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

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

deduplicate-text-datasets

SpanBERT

Code for using and evaluating SpanBERT.

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

xtreme

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

GradCache

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

CLUB

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

SimCSE-Chinese-Pytorch

SimCSE在中文上的复现，有监督+无监督

Condenser

EMNLP 2021 - Pre-training architectures for dense retrieval

Parametric-Contrastive-Learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

electra-pytorch

A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch

robustdg

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

folktables

Datasets derived from US census data

self-adaptive-training

[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

privacy-policy-historical

Historical website privacy policies spanning over two decades.

heldout-influence-estimation

LM_bias

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

noisy-text

Add noise to your text, can be used to improve synthetic training corpus for Neural Machine Translation

JointOptimization

Code for 'Joint Optimization Framework for Learning with Noisy Labels'

beta_shapley

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)

GerryFair

library for fair auditing and learning of classifiers with respect to rich subgroup fairness.

propaganda_as_a_service

Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"

Return-Parity-MDP