katsumi's starred repositories
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
fairseq-image-captioning
Transformer-based image captioning extension for pytorch/fairseq
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
self_dialogue_corpus
The Self-dialogue Corpus - a collection of self-dialogues across music, movies and sports
tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
sentence-transformers
Sentence Embeddings with BERT & XLNet
reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
open2ch-dialogue-corpus
おーぷん2ちゃんねるをクロールして作成した対話コーパス
jupyterlab-nvdashboard
A JupyterLab extension for displaying dashboards of GPU usage.
PyTorch-Batch-Attention-Seq2seq
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
text_gcn.pytorch
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
pptx-template
Build PowerPoint presentation from template(pptx) and model(json) data like other template engines