GitHub - JosephBless/Deep-Learning-Colab: DL NTU Lee

Deep Learning Models references: Stanford Andrew Ng, NTU EE Professor Lee Hung-Yi DeepMind Keras Guide YOLO

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Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
_downloads/6c042f3d39855d2a2de414758e5f9836		_downloads/6c042f3d39855d2a2de414758e5f9836
examples/object_detection/python		examples/object_detection/python
learn/generation/llm-field-guide/llama-2		learn/generation/llm-field-guide/llama-2
notebooks		notebooks
tensorflow_model_optimization/g3doc/guide/pruning		tensorflow_model_optimization/g3doc/guide/pruning
& Disco_Diffusion_v5_2_[w_VR_Mode]_+_symmetry.ipynb		& Disco_Diffusion_v5_2_[w_VR_Mode]_+_symmetry.ipynb
1_Graph_Convolutional_Networks.ipynb		1_Graph_Convolutional_Networks.ipynb
3_RNN_LSTM_Emotions_情意分析.ipynb		3_RNN_LSTM_Emotions_情意分析.ipynb
AI_Art_Machine.ipynb		AI_Art_Machine.ipynb
AI_Tunes_Generate_Music.ipynb		AI_Tunes_Generate_Music.ipynb
Automated_Onsite_SEO_Link_Optimizations_(Public).ipynb		Automated_Onsite_SEO_Link_Optimizations_(Public).ipynb
BERT_Embeddings.ipynb		BERT_Embeddings.ipynb
Car_Detection_YOLO.ipynb		Car_Detection_YOLO.ipynb
Chap_11：引入AI—機器學習概述與數據預處理.ipynb		Chap_11：引入AI—機器學習概述與數據預處理.ipynb
Chap_12：監督式學習——回歸模型_&_分類模型在股價上預測上的運用.ipynb		Chap_12：監督式學習——回歸模型_&_分類模型在股價上預測上的運用.ipynb
Chap_13：無監督學習_&_模型優化與交叉驗證.ipynb		Chap_13：無監督學習_&_模型優化與交叉驗證.ipynb
Chap_15：時間序列預測_LSTM.ipynb		Chap_15：時間序列預測_LSTM.ipynb
Chap_16：時間序列預測_Transformer_.ipynb		Chap_16：時間序列預測_Transformer_.ipynb
Chap_18：強化學習在交易中的應用_使用_Stable_Baselines_和_FinRL_.ipynb		Chap_18：強化學習在交易中的應用_使用_Stable_Baselines_和_FinRL_.ipynb
Chap_19_強化學習在交易中的應用_結合_Stable_Baselines_進_Backtrader.ipynb		Chap_19_強化學習在交易中的應用_結合_Stable_Baselines_進_Backtrader.ipynb
Chap_20：投資情緒的解讀_結合情緒分析的交易策略.ipynb		Chap_20：投資情緒的解讀_結合情緒分析的交易策略.ipynb
Chap_2：獲取金融數據.ipynb		Chap_2：獲取金融數據.ipynb
Chap_3：數據清洗、處理與財務指標計算.ipynb		Chap_3：數據清洗、處理與財務指標計算.ipynb
Chap_4：金融指標計算與策略開發基礎.ipynb		Chap_4：金融指標計算與策略開發基礎.ipynb
Chap_5：回測框架介紹.ipynb		Chap_5：回測框架介紹.ipynb
Chap_6：動量策略、均值回歸策略與技術指標策略開發.ipynb		Chap_6：動量策略、均值回歸策略與技術指標策略開發.ipynb
Chap_7：利用_Backtrader_進行策略參數優化夏普率細談.ipynb		Chap_7：利用_Backtrader_進行策略參數優化夏普率細談.ipynb
Chap_8：風險管理基礎與風險調整後的收益.ipynb		Chap_8：風險管理基礎與風險調整後的收益.ipynb
Chest_xray_pneumonia_Stanford.ipynb		Chest_xray_pneumonia_Stanford.ipynb
Co_compose_with_Jukebox_0_1.ipynb		Co_compose_with_Jukebox_0_1.ipynb
DALL_e_sample.ipynb		DALL_e_sample.ipynb
DL genome Write_An_Assembler.ipynb		DL genome Write_An_Assembler.ipynb
Day20：強化學習在交易中的應用_使用_Stable_Baselines_3_實現基於_LSTM_的強化學習，並使用_Backtrader_進行回測.ipynb		Day20：強化學習在交易中的應用_使用_Stable_Baselines_3_實現基於_LSTM_的強化學習，並使用_Backtrader_進行回測.ipynb
Day21：投資情緒的解讀_情緒分析與自然語言處理.ipynb		Day21：投資情緒的解讀_情緒分析與自然語言處理.ipynb
Day23：基本面研究_財務數據分析與可視化.ipynb		Day23：基本面研究_財務數據分析與可視化.ipynb
Disco_Diffusion.ipynb		Disco_Diffusion.ipynb
Finance_Detection_of_Accounting_Anomalies_in_the_Latent_Space_using_Adversarial_Autoencoder_Neural_Networks_KDD_2019_Lab.ipynb		Finance_Detection_of_Accounting_Anomalies_in_the_Latent_Space_using_Adversarial_Autoencoder_Neural_Networks_KDD_2019_Lab.ipynb
Financial_Fraud_Detection_Dataset_KDD_2019_Lab.ipynb		Financial_Fraud_Detection_Dataset_KDD_2019_Lab.ipynb
Fine_Tune_Llama_2_Model.ipynb		Fine_Tune_Llama_2_Model.ipynb
Fine_tune_Llama_2_in_Google_Colab.ipynb		Fine_tune_Llama_2_in_Google_Colab.ipynb
Gemini_python_quickstart.ipynb		Gemini_python_quickstart.ipynb
GeneticAlgorithmExample.ipynb		GeneticAlgorithmExample.ipynb
Genetic_Algorithms_with_DEAP_ipynb.ipynb		Genetic_Algorithms_with_DEAP_ipynb.ipynb
Google_Stock_Price_Prediction_RNN.ipynb		Google_Stock_Price_Prediction_RNN.ipynb
HMM_Viterbi_CDMA.ipynb		HMM_Viterbi_CDMA.ipynb
Keras_RNN_Guide_built_in_Layers_LSTM128_GRU256_working_with_rnns.ipynb		Keras_RNN_Guide_built_in_Layers_LSTM128_GRU256_working_with_rnns.ipynb
LLM_Fine_tune_Llama_2_in_Google_Colab.ipynb		LLM_Fine_tune_Llama_2_in_Google_Colab.ipynb
LLaMA_LoRA.ipynb		LLaMA_LoRA.ipynb
Meta_Learning_few_shot_classifier.ipynb		Meta_Learning_few_shot_classifier.ipynb
MusicGen_Demo.ipynb		MusicGen_Demo.ipynb
OpenAI_Finetuning_Distill_GPT_4_to_GPT_3_5_(v2).ipynb		OpenAI_Finetuning_Distill_GPT_4_to_GPT_3_5_(v2).ipynb
Orange_Data_Mining.ipynb		Orange_Data_Mining.ipynb
Petals_Getting_started_with_Llama_2_and_Stable_Beluga_2_(GPU_Colab).ipynb		Petals_Getting_started_with_Llama_2_and_Stable_Beluga_2_(GPU_Colab).ipynb
Pytorch_flask_rest_api_tutorial.ipynb		Pytorch_flask_rest_api_tutorial.ipynb
README.md		README.md
SECURITY.md		SECURITY.md
Seq2seq_Translation_LSTM_with_Attention.ipynb		Seq2seq_Translation_LSTM_with_Attention.ipynb
Shor's_algorithm_Quantum_Order_Cirq_GCD.ipynb		Shor's_algorithm_Quantum_Order_Cirq_GCD.ipynb
TCP_Sockets.ipynb		TCP_Sockets.ipynb
Text to Speech Bark_HuggingFace_Demo.ipynb		Text to Speech Bark_HuggingFace_Demo.ipynb
Threat_detection_IT_threat_detection.ipynb		Threat_detection_IT_threat_detection.ipynb
W&B_Artifacts_API_Demo.ipynb		W&B_Artifacts_API_Demo.ipynb
Web_Attack_Detection_(ML_IDS).ipynb		Web_Attack_Detection_(ML_IDS).ipynb
YOLOv4_Blood_Cell_Count_and_Detection_(BCCD)_Darknet_Roboflow.ipynb		YOLOv4_Blood_Cell_Count_and_Detection_(BCCD)_Darknet_Roboflow.ipynb
_Classify_DDoS_Network_Attacks_Predicting_Network_Attacks.ipynb		_Classify_DDoS_Network_Attacks_Predicting_Network_Attacks.ipynb
_NET Core.ipynb		_NET Core.ipynb
analyzing_neural_networks.ipynb		analyzing_neural_networks.ipynb
dalle2_laion_alpha.ipynb		dalle2_laion_alpha.ipynb
demo-predicting-stock-prices.ipynb		demo-predicting-stock-prices.ipynb
federated_learning_for_image_classification.ipynb		federated_learning_for_image_classification.ipynb
federated_learning_for_text_generation.ipynb		federated_learning_for_text_generation.ipynb
hw1_regression.ipynb		hw1_regression.ipynb
meta_learning_maml.ipynb		meta_learning_maml.ipynb
mmSeq_Bioinformatics_AlphaFold2.ipynb		mmSeq_Bioinformatics_AlphaFold2.ipynb
stock_price_prediction_keras.ipynb		stock_price_prediction_keras.ipynb
style_transfer.ipynb		style_transfer.ipynb
「3_blast_msa_ipynb」.ipynb		「3_blast_msa_ipynb」.ipynb
「Ollama_+_Unsloth_+_Llama_3_+_Alpaca_ipynb」的副本.ipynb		「Ollama_+_Unsloth_+_Llama_3_+_Alpaca_ipynb」的副本.ipynb
「agentic_vision_demo_ipynb」.ipynb		「agentic_vision_demo_ipynb」.ipynb
「multivariate_normal_ipynb」.ipynb		「multivariate_normal_ipynb」.ipynb

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