Open-source AI library (audio to text, simple NLP, and common algorithms)
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Updated
Jul 11, 2024 - Python
Open-source AI library (audio to text, simple NLP, and common algorithms)
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。
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."
[ICDE2024] Official code of "BSL: Understanding and Improving Softmax Loss for Recommendation"
Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow
Feedforward Neural Network from scratch - backpropagation, gradient descent, activation functions
Advance Deep learning with Model Implementation ANN && CNN (working.....)
Cross Modal Retrieval with Querybank Normalisation
Multiclass Classification using Softmax from scratch without any famous library like Tensorflow, Pytorch, etc.
Various applications of deep learning have been demonstrated.
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.
A from-scratch implementation of a multi-layer, densely connected neural network that can classify handwritten images of numbers. Trained on the MNIST dataset with no external AI library dependencies!
Neural Networks from scratch (Inspired by Michael Nielsen book: Neural Nets and Deep Learning)
Clipped Noise Softmax to overcome over-fitting with Softmax - PyTorch implementation
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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