F.Kuniyoshi

mcp-course. MDX

Awesome-Video-Diffusion. A curated list of recent diffusion models for video generation, editing, and various other applications.

Diffusion-Models-Papers-Survey-Taxonomy. Diffusion model papers, survey, and taxonomy

GLM-130B. GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

tueplots. Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

dl-colab-notebooks. Try out deep learning models online on Google Colab

property-values-graphs_dataset. Python

flair. A very simple framework for state-of-the-art Natural Language Processing (NLP)

bert-on-abci. BERT-related projects on ABCI by AIST-AIRC

LSTM-ER. Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

science-parse. Science Parse parses scientific papers (in PDF form) and returns them in structured form.

Knet.jl. Koç University deep learning framework.

cvpaperscraper. Downloads pdf from ICCV Open Access (http://openaccess.thecvf.com/ICCV2017.py) or Arxiv

sentencepiece. Unsupervised text tokenizer for Neural Network-based text generation.

bert. TensorFlow code and pre-trained models for BERT

awesome-bert. bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

BERT-pytorch. Google AI 2018 BERT pytorch implementation

BERT-NER. Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

SeqGAN-PyTorch. Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

draggable. The JavaScript Drag & Drop library your grandparents warned you about.

tsfresh. Automatic extraction of relevant features from time series: