pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型实现,开箱即用。
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Updated
May 22, 2024 - Python
pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型实现,开箱即用。
🎉CUDA 笔记 / 大模型手撕CUDA / C++笔记,更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
Open-source AI library (audio to text, simple NLP and algorithms)
Neural Network from Scratch using Numpy for MNIST Dataset
learning python day 11
Neural Network from Scratch using Numpy for MNIST Dataset
Implementations of neural networks in python for the classification of MNIST datasets.
Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)
The code for L3AM loss with Pytorch
My own implementation/experiments with a local softmax
Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
basic rust neural network framework
identify digits from a dataset of tens of thousands of handwritten images.
Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'
Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
Machine learning algorithms in Dart programming language
[ICDE2024] Official code of "BSL: Understanding and Improving Softmax Loss for Recommendation"
Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow
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