long-form-factuality
tape
long-form-factuality | tape | |
---|---|---|
2 | 1 | |
447 | 620 | |
80.5% | 0.0% | |
6.3 | 0.0 | |
6 days ago | over 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
long-form-factuality
-
An Open Source Tool for Multimodal Fact Verification
Isn't this similar to the Deepmind paper on long form factuality posted a few days ago?
https://arxiv.org/abs/2403.18802
https://github.com/google-deepmind/long-form-factuality/tree...
- LongFact – Long-Form Factuality in Large Language Models
tape
-
ProteinBERT: A universal deep-learning model of protein sequence and function
We evaluated based on downstream tasks (multiple supervised benchmarks, including 4 from TAPE), not the LM performance.
What are some alternatives?
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
evodiff - Generation of protein sequences and evolutionary alignments via discrete diffusion models
ProFET - ProFET: Protein Feature Engineering Toolkit for Machine Learning
text - Models, data loaders and abstractions for language processing, powered by PyTorch
pypdb - A Python API for the RCSB Protein Data Bank (PDB)
protein_bert
openfold - Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
asap - Amino-Acid Sequence Annotation Predictor (ASAP)
ronin - RoNIN: Robust Neural Inertial Navigation in the Wild