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HOW TO LOVE

HOW TO LOVE

yasiuriel
Is it LOVE? Really? ~~~~~~~~~~~~~~~~~~~~~~~~ Two brothers separated by fate, and now fate brought them back together. What will happen to them? How do they unlock the questions behind their separation? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102.9K viewsOngoingAdded to Library 82 Times as how does machine learning works
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Learning to Let Go of What Hurts

Learning to Let Go of What Hurts

After pursuing Yves Chapman for five years, he finally agrees to marry me. Two months before the wedding, I get into an accident. I call him thrice, but he rejects my call each time. It's only because Clarisse Tatcher advises him to give me the cold shoulder for a while to stop me from pestering him. When I crawl out of that valley, I'm covered in injuries. My right hand has a comminuted fracture. At that moment, I finally understand that certain things can't be forced. But after that, he starts to wait outside my door, his eyes red as he asks me to also give him five years.
4.3K viewsCompletedAdded to Library 116 Times as how does machine learning works
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Learning To Love Again With My Boss

Learning To Love Again With My Boss

"When will Amber leave this house? If you don't give me an answer, I won't be intimate with you anymore. If you truly value me over her, then do what needs to be done," Gwen said as she distanced herself from Dave while they were naked in bed. *********************** Amber’s world falls apart as betrayal and heartbreak push her to the edge. Her husband, whom she helped get out of a huge debt, abandons her for her best friend, leaving her with nothing. In her pain, she makes a solemn vow to never love again. Now, she faces a risky choice between love and revenge in a dangerous game of deceit. Her grandmother’s life is at risk, and Amber must make a crucial decision. Will she break her promise and embark on a dangerous mission that could land her in jail if she fails? Will she give in to her desire for payback or find a way to rediscover love? This captivating romance novel is filled with suspense, surprises, and a woman’s journey to reclaim her worth in a world where nothing is what it seems.
104.2K viewsCompletedAdded to Library 92 Times as how does machine learning works
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Does My Tuxedo Look Good on Him?

Does My Tuxedo Look Good on Him?

On the day of my wedding with Hannah Hawkes, her first love, Lucas Tate, sends his critical notice to her. He mentions that he wants to wear a wedding tuxedo one last time at a wedding before his death. In order to fulfill Lucas' wish, Hannah locks me up in a lounge and gets ready to attend the wedding with him. Her impatient voice echoes outside the door. "Why are you so cold-blooded? Lucas is about to die, you know! What's the harm in letting him have his way?" Some time after that, Freya Jensen, the young woman who lives next door, gets up to the rooftop and begs me to marry her. With red-rimmed eyes, Hannah asks pleadingly, "Are you going to give up on our seven-year relationship because of her?" I merely slap her hand away. "Am I supposed to watch Freya die? It's just a marriage registration. Stop being cold-blooded, will you?"
1.5K viewsCompletedAdded to Library 32 Times as how does machine learning works
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How it Ends

How it Ends

Machines of Iron and guns of alchemy rule the battlefields. While a world faces the consequences of a Steam empire. Molag Broner, is a soldier of Remas. A member of the fabled Legion, he and his brothers have long served loyal Legionnaires in battle with the Persian Empire. For 300 years, Remas and Persia have been locked in an Eternal War. But that is about to end. Unbeknown to Molag and his brothers. Dark forces intend to reignite a new war. Throwing Rome and her Legions, into a new conflict
7.2K viewsCompletedAdded to Library 238 Times as how does machine learning works
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The One who does Not Understand Isekai

The One who does Not Understand Isekai

MaeDiablo
Evy was a simple-minded girl. If there's work she's there. Evy is a known workaholic. She works day and night, dedicating each of her waking hours to her jobs and making sure that she reaches the deadline. On the day of her birthday, her body gave up and she died alone from exhaustion. Upon receiving the chance of a new life, she was reincarnated as the daughter of the Duke of Polvaros and acquired the prose of living a comfortable life ahead of her. Only she doesn't want that. She wants to work. Even if it's being a maid, a hired killer, or an adventurer. She will do it. The only thing wrong with Evy is that she has no concept of reincarnation or being isekaid. In her head, she was kidnapped to a faraway land… stranded in a place far away from Japan. So she has to learn things as she goes with as little knowledge as anyone else. Having no sense of ever knowing that she was living in fantasy nor knowing the destruction that lies ahead in the future. Evy will do her best to live the life she wanted and surprise a couple of people on the way. Unbeknownst to her, all her actions will make a ripple. Whether they be for the better or worse.... Evy has no clue.
104.2K viewsOngoingAdded to Library 99 Times as how does machine learning works
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How to Settle?

How to Settle?

Infinity
"There Are THREE SIDES To Every Story. YOURS, HIS And The TRUTH."We both hold distaste for the other. We're both clouded by their own selfish nature. We're both playing the blame game. It won't end until someone admits defeat. Until someone decides to call it quits. But how would that ever happen? We're are just as stubborn as one another.Only one thing would change our resolution to one another. An Engagement. .......An excerpt -" To be honest I have no interest in you. ", he said coldly almost matching the demeanor I had for him, he still had a long way to go through before he could be on par with my hatred for him. He slid over to me a hot cup of coffee, it shook a little causing drops to land on the counter. I sighed, just the sight of it reminded me of the terrible banging in my head. Hangovers were the worst. We sat side by side in the kitchen, disinterest, and distaste for one another high. I could bet if it was a smell, it'd be pungent."I feel the same way. " I replied monotonously taking a sip of the hot liquid, feeling it burn my throat. I glanced his way, staring at his brown hair ruffled, at his dark captivating green eyes. I placed a hand on my lips remembering the intense scene that occurred last night. I swallowed hard. How? I thought. How could I be interested?I was in love with his brother.
103.3K viewsOngoingAdded to Library 101 Times as how does machine learning works
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The Machine I "Destroyed" Was Mine All Along

The Machine I "Destroyed" Was Mine All Along

My junior accidentally broke the most expensive piece of equipment in the lab and asked me to help fix it. I had just started touching the instrument when she suddenly stepped back, tears brimming, and said, "Michelle, I can't take responsibility for this. I really can't afford it." Before I could even process her words, Nicky Hardy—the unattainable crush I had chased for three years—rushed in and shielded her behind him. Then he turned to me with a glare that could freeze fire. "Michelle, don't go too far. You can't expect her to take the fall for you." I stared at him, dumbfounded. "You know full well I was shoved into this research group. I don't understand any of this stuff. How could I do the experiments on my own?" His eyes grew colder, dripping with disdain. "I've been saying it—what can a nepo baby actually accomplish? And now the equipment's ruined, and you still have the nerve to push the blame onto Elizabeth?" I opened my mouth to argue, but then I caught a flicker of triumph across Elizabeth Horwitz's face in Nicky's arms. That was when it clicked. They only knew I got in through connections—they had no idea I'd financed this very equipment myself. They wanted to play their petty power games over a piece of lab equipment worth over ten million? Interesting.
353 viewsCompletedAdded to Library 10 Times as how does machine learning works
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When My Wolf Dies So Does My Love

When My Wolf Dies So Does My Love

When my Alpha mate, Logan noticed I hadn't submitted a single expense request in three days, he reached out to me on his own for the first time ever. "Baby, I've already approved the next phase of your wolf's healing. See? As long as you learn to behave, there's nothing I won't give you." His tone was still so affectionate, as if he were truly a good Alpha, worried sick over his mate. But he didn't know that as his "Baby" flashed across my phone screen, I had already finished drafting the agreement to sever our mate bond. Before I left, the only thing I could take with me was the old T-shirt I had worn when he marked me. No one would ever believe that the beloved Luna of the Blackmoon Pack, in the three years since our bonding ceremony, couldn't even scrape together five decent dresses of her own. Every household expense I incurred had to be approved by the Luna's seal, the very symbol of my power. "Sienna, managing the books is too tiring. It will wear you out." "Just let Chloe handle the tedious work with the seal. All you have to do is be beautiful, be my perfect Luna." And so, the Luna's seal, which should have been mine, became something I had to beg for from Chloe, the Alpha's secretary who was supposedly "handling the tedious work for me." Three days ago, my wolf was on the verge of collapsing. I cried and begged him for the two hundred thousand needed for an emergency intervention. But Chloe deliberately withheld the seal, delaying approval by claiming improper procedure. Finally, my already fractured wolf went completely silent in the depths of my soul. And with that, I was done with this Alpha, too.
20.5K viewsCompletedAdded to Library 450 Times as how does machine learning works
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How We End II

How We End II

“True love stories never have endings.” Dean said softly. “Richard Bach.” I nodded. “You taught me that quote the night I kissed you for the first time.” He continued, his fingers weaving through loose hair around my face. “And I held on to that every day since.”
101.5K viewsCompletedAdded to Library 37 Times as how does machine learning works
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