List of Deep Learning ModelsDeep learning (DL) algorithms have recently emerged from machine learning and soft computing techniques. Since then, several deep learning (DL) algorithms have been recently introduced to scientific communities and are applied in various application domains. Today......
Deep Learning Models C++ Implementation of PyTorch Tutorial Simple Examples to Introduce PyTorch Mini Tutorials in PyTorch Deep Learning for NLP Deep Learning Tutorial for Researchers Fully Convolutional Networks implemented with PyTorch Simple PyTorch Tutorials Zero to ALL ...
Awesome Deep Learning Table of Contents Free Online Books Courses Papers You can also find the most cited deep learning papers fromhere Tutorials Contributing Have anything in mind that you think is awesome and would fit in this list? Feel free to send apull request. ...
Physics-constrained Deep Recurrent Neural Models of Building Thermal Dynamics Ján Drgona, et al. Code not yet. MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification Angus Dempster, et al. [Code] Learning to Select the Best Forecasting Tasks for Clinical Outcome ...
4078 DICETRACK: LIGHTWEIGHT DICE CLASSIFICATION ON RESOURCE-CONSTRAINED PLATFORMS WITH OPTIMIZED DEEP LEARNING MODELS 5738 DIFFDUB: PERSON-GENERIC VISUAL DUBBING USING INPAINTING RENDERER WITH DIFFUSION AUTO-ENCODER 9504 DIFFERENTIABLE QUANTUM ARCHITECTURE SEARCH FOR JOB SHOP SCHEDULING PROBLEM 3427 Differentiabl...
BayesWitnesses/m2cgen - A CLI tool to transpile trained classic machine learning models into a native Rust code with zero dependencies. immunant/c2rust - C to Rust translator and cross checker built atop Clang/LLVM. jameysharp/corrode - A C to Rust translator written in Haskell. Libraries ...
Pan-spatiotemporal Feature Rice Deep Learning Extraction Based on Multi-source Data Fusion DU JiaKuan, LI YanFei, SUN SiWen, LIU JiDong, JIANG TengDa Journal of Agricultural Big Data 2024, 6 (1): 56-67. DOI: 10.19788/j.issn.2096-6369.000010 Abstract (247) HTML (25) PDF(pc) (9692KB...
event is known as the technological singularity; this is the point beyond which events may become unpredictable or even unfathomable to human intelligence. This panel will picture the current state of the art for AI, deep learning and robotics, and try to predict where this technology is heading...
基础代表性的语言模型- 谷歌(DeepMind) - Jurassic-1, Improving language models by retrieving from trillions of tokens 侧重开放性方面的基础代表性的语言模型-语言模型 - Facebook - OPT-175B 、LLaMA 因为OpenAI闭源、模型也不开放,所以有力股力量做模型开放、可能还谈不上开源,比如训练数据全部用开源、合法获...
Deduplicating Training Data Mitigates Privacy Risks in Language Models Federated Learning with Label Distribution Skew via Logits Calibration Data: Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experimen...