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README.md
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---
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ADL : Implementation of Ad-Sherlock for Click-Fraud Detection using Deep-Learning
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APA : Artificial-Intelligence Programming Assistant using GenAI
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BW__RGB : Grayscale to RGB Image Colorization using GANs
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FT__BERT_NSP__MRPC : Fine-Tuning BERT LLM on MRPC dataset for Next Sentence Prediction
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MNST : Multi-Style Image Generation with Neural Style Transfer
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NLP__SQL : SQL Query Data Retrieval with Natural Language using RAGs
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PNSA : Personalized News Summarization with LangChain
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PUP : Phishing URL Prediction using Binary Classification
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================================================================================
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Miniconda : py__3_12_1
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SHA : ff53a36b7024f8398cbfd043020f1f662cd4c5c2095c0007ddb4348aa5459375
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pip install pipreqs==0.5.0
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pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
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pip install -r ADL/_/requirements.txt
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pip install -r APA/_/requirements.txt
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pip install -r BW__RGB/_/requirements.txt
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pip install -r FT__BERT_NSP__MRPC/_/requirements.txt
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pip install -r MNST/_/requirements.txt
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pip install -r NLP__SQL/_/requirements.txt
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pip install -r PNSA/_/requirements.txt
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pip install -r PUP/_/requirements.txt
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pipreqs ADL --savepath ADL/_/requirements.txt --scan-notebooks
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pipreqs APA --savepath APA/_/requirements.txt --scan-notebooks
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pipreqs BW__RGB --savepath BW__RGB/_/requirements.txt --scan-notebooks
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pipreqs FT__BERT_NSP__MRPC --savepath FT__BERT_NSP__MRPC/_/requirements.txt --scan-notebooks
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pipreqs MNST --savepath MNST/_/requirements.txt --scan-notebooks
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pipreqs NLP__SQL --savepath NLP__SQL/_/requirements.txt --scan-notebooks
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pipreqs PNSA --savepath PNSA/_/requirements.txt --scan-notebooks
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pipreqs PUP --savepath PUP/_/requirements.txt --scan-notebooks
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