Pinned Repositories
BayesianTransferLearning
BIG-bench
Beyond the Imitation Game collaborative benchmark for enormous language models
BIG-Bench-Hard
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
CLIP
Contrastive Language-Image Pretraining
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
curvlinops
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
dptam.github.io
factCC
Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
FLAN
dptam's Repositories
dptam/BayesianTransferLearning
dptam/BIG-bench
Beyond the Imitation Game collaborative benchmark for enormous language models
dptam/BIG-Bench-Hard
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
dptam/CLIP
Contrastive Language-Image Pretraining
dptam/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
dptam/curvlinops
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
dptam/dptam.github.io
dptam/factCC
Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
dptam/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
dptam/FLAN
dptam/frank
FRANK: Factuality Evaluation Benchmark
dptam/mend
MEND: Fast Model Editing at Scale
dptam/metaseq
Repo for external large-scale work
dptam/git-theta
git extension for {collaborative, communal, continual} model development
dptam/MFMA
Factual consistency checking model for abstractive summaries (NAACL-22 Findings)
dptam/modifying-memory
dptam/open_clip
dptam/pet
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
dptam/promptsource
Toolkit for creating, sharing and using natural language prompts.
dptam/PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
dptam/realistic_evaluation_of_model_merging
dptam/SummEval
Resources for the "SummEval: Re-evaluating Summarization Evaluation" paper
dptam/swa_gaussian
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
dptam/t-few
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
dptam/tangent_task_arithmetic
Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
dptam/task_vectors
Editing Models with Task Arithmetic
dptam/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
dptam/uda
Unsupervised Data Augmentation (UDA)
dptam/UDA_pytorch
UDA(Unsupervised Data Augmentation) implemented by pytorch
dptam/wise-ft
Robust fine-tuning of zero-shot models