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All Algorithms implemented in Python
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
PyTorch implementations of Generative Adversarial Networks.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Stable diffusion for real-time music generation
Python 中文数据结构和算法教程
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
利用pandas将excel中数据抽取,以三元组形式加载到neo4j数据库中构建相关知识图谱
An open-source framework for self-supervised recommender systems.
A simple code for plotting figure, colorbar, and cropping with python
Using temporal convolution to detect Audio Deepfakes
An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)