softmax
There are 154 repositories under softmax topic.
lonePatient/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
nickgillian/grt
gesture recognition toolkit
DefTruth/CUDA-Learn-Notes
🎉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.
happynear/AMSoftmax
A simple yet effective loss function for face verification.
shibing624/pytextclassifier
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。
tfzhou/ProtoSeg
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
Stonesjtu/Pytorch-NCE
The Noise Contrastive Estimation for softmax output written in Pytorch
abhijitbendale/OSDN
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
liuyukid/transformers-ner
Pytorch-Named-Entity-Recognition-with-transformers
amirhfarzaneh/lsoftmax-pytorch
The Pytorch Implementation of L-Softmax
gyrdym/ml_algo
Machine learning algorithms in Dart programming language
AFAgarap/gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
snrazavi/Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
lucylow/Deep-Learning-Mahjong---
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
ioanacroi/qb-norm
Cross Modal Retrieval with Querybank Normalisation
ColumbiaDVMM/Heated_Up_Softmax_Embedding
Project page for Heated-up Softmax Embedding
eggie5/NCE-loss
Tensorflow NCE loss in Keras
Jumabek/net_intrusion_detection
Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
VivianoRiccardo/Learning-Lab-C-Library
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
weecology/LDATS
Latent Dirichlet Allocation coupled with Bayesian Time Series analyses
ahmdtaha/softmax_triplet_loss
(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
tajanthan/pmf
Proximal Mean-field for Neural Network Quantization
CyberZHG/keras-adaptive-softmax
Adaptive embedding and softmax
AliAbbasi/Multilabel-Image-Classification-with-Softmax
Multilabel image classification with softmax by python and tensorflow
deep-learning-algorithm/PyNet
Numpy implementation of deep learning
idanmoradarthas/MutiArmedBandit-DeepLearning
Multi-armed bandit algorithm with tensorflow and 11 policies
khaHesham/My-Machine-Learning-Journey
my legacy in machine learning including important summaries that I have made (or found) along with additional cheatsheets and books
priyanka-kasture/Fashion-MNIST-Classification
Implementation of a neural network model, to classify images of clothing, like sneakers and shirts in the Fashion-MNIST dataset, using Tensorflow; in python.
soskek/efficient_softmax
BlackOut and Adaptive Softmax for language models by Chainer
sharmaroshan/MNIST-Dataset
Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.
wuuyanru/FinBaseline_SequenceLabeling
序列标注：包含多种不同的模型（CRF，Bi-LSTM+CRF，SPAN，Global_Pointer，Softmax）来解决序列任务，如中文命名实体识别等
AliAbbasi/Numerically-Stable-Cross-Entropy-Loss-Function-Tensorflow
Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow
elliotwaite/softmax-logit-paths
Plots how the logit values that are passed into the softmax function change over time as the model is trained.
junkangwu/BSL
[ICDE2024] Official code of "BSL: Understanding and Improving Softmax Loss for Recommendation"
NikolaZubic/AppliedGameTheoryHomeworkSolutions
Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
kyegomez/Hedgehog
Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"