Tiiiger

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

alpaca_farm

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

benchmark_llm_summarization

bert_score

BERT score for text generation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

NN-Dialogue

Intended to implement papers on neural dialogue generation

QPyTorch

Low Precision Arithmetic Simulation in PyTorch

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

templm

Code release for "TempLM: Distilling Language Models into Template-Based Generators"

Tiiiger/bert_score

BERT score for text generation

Tiiiger/SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

Tiiiger/QPyTorch

Low Precision Arithmetic Simulation in PyTorch

Tiiiger/benchmark_llm_summarization

Tiiiger/templm

Code release for "TempLM: Distilling Language Models into Template-Based Generators"

Tiiiger/NN-Dialogue

Intended to implement papers on neural dialogue generation

Tiiiger/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Tiiiger/gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

Tiiiger/temp_assets

Tiiiger/WAGE.pytorch

Reproduction of WAGE in PyTorch.

Tiiiger/cocoa

Framework for learning dialogue agents in a two-player game setting.

Tiiiger/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Tiiiger/ilm

Easily fine tune GPT-2 to fill in missing text

Tiiiger/mai_demo

random code collection for visuals

Tiiiger/neural-template-gen

Tiiiger/NN.jl

Jupiter neural network library

Tiiiger/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tiiiger/revisit-bert-finetuning

For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).

Tiiiger/Tiiiger.github.io

Tiiiger/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.