JustToBeYourself's starred repositories
SimCSE-Pytorch
中文数据集下SimCSE+ESimCSE的实现
ChatGLM-Finetuning
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning、全参微调等
Few-Shot-for-Text-Classification
使用Few-Shot方法来做文本分类任务,基于THUCNews数据
Text-Classification-1
Implementation of papers for text classification task on DBpedia
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
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
Bert-malware-classification
使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务
malware-detection-based-on-cnn
基于卷积神经网络的恶意软件检测方法
malware-detection
Malware Detection and Classification Using Machine Learning
Gated-Attention
Implementation of the paper : Not all attention is needed - Gated Attention Network for Sequence Data (GA-Net) [https://arxiv.org/abs/1912.00349]
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
maml-cnn-text-classifier
Model-agnostic meta-learning framework adapted to CNN text classifier
Weight-Normalization
Complete implementation of Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks article
Random-Fourier-Features
Test implementation of Algorithm 1 [Random Fourier Features] from 'Random Features for Large-Scale Kernel Machines' using the code supplied with the paper (requires a MATLAB license)
sparse-rff
Test the performance of 1 norm svm combined with random features method.
rff-reservoir
Better reservoir sampling, using random Fourier features
LapSVM-python
Laplacian Support Vector Machines
machine_learning_python
通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
Bert-Chinese-Text-Classification-Pytorch
使用Bert/ERNIE进行中文短文本分类(附数据集)
NLP-Capsule
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
MiniProject
Mini project that can be done for beginner