DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks paper page: https://
huggingface.co/papers/2307.05
628
… The success of the GPT series proves that GPT can extract general information from sequences, thereby benefiting all downstream tasks. This motivates us to use
MACHINE LEARNING
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DNAGPT: Generalized Pretrained Tool for DNA Sequence Analysis
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Instruction Mining: High-Quality Data Selection for LLMs
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Instruction Mining: High-Quality Instruction Data Selection for Large Language Models paper page: https://
huggingface.co/papers/2307.06
290
… Large language models typically undergo two training stages, pretraining and finetuning. Despite that large-scale pretraining endows the model with strong -
Robots Learning Manipulation from Human Video Demonstrations with Eye-in-Hand Cameras
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Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Demonstrations paper page: https://
huggingface.co/papers/2307.05
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… Eye-in-hand cameras have shown promise in enabling greater sample efficiency and generalization in vision-based robotic manipulation. -
NaViT: Vision Transformer for Flexible Aspect Ratios and Resolutions
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Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution paper page: https://
huggingface.co/papers/2307.06
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… The ubiquitous and demonstrably suboptimal choice of resizing images to a fixed resolution before processing them with computer vision models has not yet been -
LightGBM Early Stopping Callback for sklearn API
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We need to have early stopping as a callback in the sklearn api. es = lgb.early_stopping(stopping_rounds=200, verbose=False) http://
lgb.fit(train_X, train_y, eval_set=(val_X, val_y), callbacks=[es]) -
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
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Stack More Layers Differently: High-Rank Training Through Low-Rank Updates paper page: https://
huggingface.co/papers/2307.05
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… Despite the dominance and effectiveness of scaling, resulting in large networks with hundreds of billions of parameters, the necessity to train overparametrized models -
SITTA: Semantic Image-Text Alignment for Image Captioning
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SITTA: A Semantic Image-Text Alignment for Image Captioning paper page: https://
huggingface.co/papers/2307.05
591
… Textual and semantic comprehension of images is essential for generating proper captions. The comprehension requires detection of objects, modeling of relations between them, an -
LoRAs Assembly: Machine Learning Fine-tuning Innovation
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all the LoRas assemble, this is going to be fun!
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Scikit-Learn Adds PyTorch GPU Support via Array Dispatch
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wow didn't know this was happening. this is huge!
scikit added support for pytorch and GPUs via array dispatch -
Cerebras ML Engineer Daria Soboleva Nominated Women in AI Rising Star
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We are excited to announce that Cerebras Senior ML Engineer, Daria Soboleva, has been nominated as a Rising Star Finalist for VentureBeat's 5th annual Women in AI Awards. Congratulations Daria! Read more about the award here: https://
hubs.li/Q01XwVS80