GitHub - nl1xx/AI-Algorithm-Practice: 人工智能经典算法学习

本仓库通过编写代码实现对各个人工智能基础算法的理解，项目代码除自己实现外还来源于网络和开源项目

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
00GradientDescent.py		00GradientDescent.py
01Backpropagation.py		01Backpropagation.py
02CNN_Project.py		02CNN_Project.py
03AE.py		03AE.py
04VAE.py		04VAE.py
05VAE_Project.py		05VAE_Project.py
06ResNet.py		06ResNet.py
07ResNet-18_Project.py		07ResNet-18_Project.py
08GAN.py		08GAN.py
09GAN_Project.py		09GAN_Project.py
10ContrastiveLearning(CL).py		10ContrastiveLearning(CL).py
11CL_Project(SimCLR).py		11CL_Project(SimCLR).py
11SimCLR损失函数.md		11SimCLR损失函数.md
12GCN.py		12GCN.py
13GAT.py		13GAT.py
14VGAE.py		14VGAE.py
15GNN.py		15GNN.py
16Multi-Scale.py		16Multi-Scale.py
17Diffusion.py		17Diffusion.py
18GRU.py		18GRU.py
19LSTM.py		19LSTM.py
20RNN_Project.py		20RNN_Project.py
21HMM.py		21HMM.py
22MCTS.py		22MCTS.py
23MCTS_Project.py		23MCTS_Project.py
24RL_ValueIteration.py		24RL_ValueIteration.py
25ValueIteration_Project.py		25ValueIteration_Project.py
26RL_QLearning.py		26RL_QLearning.py
27QLearning_Project.py		27QLearning_Project.py
28RL_PolicyIteration.py		28RL_PolicyIteration.py
29PolicyIteration_Project.py		29PolicyIteration_Project.py
30RL_ActorCritic.py		30RL_ActorCritic.py
31AC_Project.py		31AC_Project.py
32RL_A2C.py		32RL_A2C.py
33A2C_Project.py		33A2C_Project.py
34Transformer.py		34Transformer.py
35Transformer_Project.py		35Transformer_Project.py
36ViT.py		36ViT.py
37ViT_Project.py		37ViT_Project.py
38Word2Vec.py		38Word2Vec.py
39Word2VecConfig.yaml		39Word2VecConfig.yaml
39Word2Vec_Project.py		39Word2Vec_Project.py
40BERT.py		40BERT.py
41MAML.py		41MAML.py
42GPT_Project.py		42GPT_Project.py
43XAI_SHAP.py		43XAI_SHAP.py
44XAL_LIME(MNIST).py		44XAL_LIME(MNIST).py
45XAI_LIME(CIFAR10).py		45XAI_LIME(CIFAR10).py
46DecisionTree(IG).py		46DecisionTree(IG).py
47DecisionTree(GI).py		47DecisionTree(GI).py
48DecisionTree(MSE).py		48DecisionTree(MSE).py
49RandomForest(Classification).py		49RandomForest(Classification).py
50RandomForest(Regression).py		50RandomForest(Regression).py
51AdaBoost.py		51AdaBoost.py
52XGBoost.py		52XGBoost.py
53CART(Regression).py		53CART(Regression).py
54CART(Classification).py		54CART(Classification).py
55GBDT.py		55GBDT.py
56LightGBM(Classification).py		56LightGBM(Classification).py
57LightGBM(Regression).py		57LightGBM(Regression).py
58BigBird.py		58BigBird.py
59SelectiveSearch.py		59SelectiveSearch.py
60NMS.py		60NMS.py
61R-CNN.py		61R-CNN.py
62SVM_SMO.py		62SVM_SMO.py
63SVM_SMO(Advanced).py		63SVM_SMO(Advanced).py
64SVM_Nonlinear.py		64SVM_Nonlinear.py
65ContinualLearning(EWC).py		65ContinualLearning(EWC).py
66MoE(TopKRouter).py		66MoE(TopKRouter).py
67MoE_Project.py		67MoE_Project.py
68FCN.py		68FCN.py
69U-Net.py		69U-Net.py
70SegNet.py		70SegNet.py
71Knowledge_Distillation.py		71Knowledge_Distillation.py
72EWC.py		72EWC.py
73DeepLabv1.py		73DeepLabv1.py
74DeepLab v2.py		74DeepLab v2.py
75DeepLab v3.py		75DeepLab v3.py
76DeepLab v3+.py		76DeepLab v3+.py
77RoBERTa.py		77RoBERTa.py
78DeconvNet.py		78DeconvNet.py
79FastText.py		79FastText.py
80ELMo.py		80ELMo.py
81TextCNN.py		81TextCNN.py
82GloVe.py		82GloVe.py
83Simple-MultiModal.py		83Simple-MultiModal.py
84 Simple-MultiModal-Improvement.py		84 Simple-MultiModal-Improvement.py
CrossEntropyLoss.py		CrossEntropyLoss.py
N-PairLoss.py		N-PairLoss.py
README.md		README.md
RelativePositionEmbedding.py		RelativePositionEmbedding.py
ResNetCustomDataset.py		ResNetCustomDataset.py
test.py		test.py
testNetron.py		testNetron.py
testNum_Workers.py		testNum_Workers.py
testPytorch.py		testPytorch.py
testWandb.py		testWandb.py

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