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thu-ml/tianshou: An elegant PyTorch deep reinforcement ... - GitHub
An elegant PyTorch deep reinforcement learning library. - thu-ml ... In contrast to other RL platforms, our tests include the full agent training procedure for ...
About me. We are hiring ML engineers, full stack engineers and applied scientists at Boson AI. If you are interested in building large models and delivering ...
[2002.01633] Structural Deep Clustering Network - arXiv
Published at The Web Conference (WWW) 2020, full paper. Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML). Cite as: arXiv ...
Weiqiang Zhu - Google Scholar
University of California, Berkeley - Cited by 4624 - Seismology - Deep Learning - Numerical Simulation - Inverse Problem
Teaching. Fall 2024: EE/CS 228 Introduction to Deep Learning. Spring 2024: EE 260 Large Models and Advances in AI.
LoRA: Low-Rank Adaptation of Large Language Models - arXiv
As we pre-train larger models, full fine-tuning, which retrains all model parameters, becomes less feasible. Using GPT-3 175B as an example -- ...
Kenny Q. Zhu - Recent Advances in Dialogues and Text Generation
UoA Machine Learning Seminar March 24, 2021: Kenny Q. Zhu - Recent Advances ... UoA ML Seminar: Xia Ning - Modof: A Deep Generative Model for ...
Master Lin's Smoked Black Clay Ju Lun Zhu Teapot, 140 ml
150 ml. Pour Out Time. 10 seconds. Material. Black Clay. Outer Finish. Smoked Haze, Bare. Inside Finish. Unglazed. Overall Height. 70 mm. Length. 120 mm. Height ...
Feng Zhu on LinkedIn: #rescinded #opentowork #machinelearning ...
... (machine learning). I have strong working knowledge and skills in machine learning, deep learning, and time series. My OPT will start in ...
Deep Exploration for Recommendation Systems, at University of Chinese Academy of Sciences, 2023. Deep Machine Learning Panel, at ML Summit San Francisco, 2019.
Machine Learning and Deep Learning Methods for Cybersecurity
... machine learning (ML) and deep learning (DL) methods for network ... Zhu. All Authors. View Document. 733. Cites in. Papers. 108937. Full. Text ...
Her research focuses on developing scalable ways to audit and mitigate bias in deep learning models, with applications to healthcare. She also completed her BS ...
Machine Learning and Deep Learning Methods for Enhancing ...
They used extreme learning machine (ELM) for applications when complete data ... Zhu. Occupancy prediction through Markov based feedback recurrent ...
Prof. Dr. Xiaoxiang Zhu - TUM Professoren
Camps-Valls G, Tuia D, Zhu X, Reichstein M: Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences.
Feng completed his PhD in Neuroscience at Emory. His thesis research, entitled “Overcoming Spatiotemporal Trade-offs in Calcium Imaging Using Deep Learning- ...
A review of deep learning in medical imaging - PubMed Central
Kaplan and Zhu [153] propose a deep generative based denoising method, that ... deep learning on whole slide images,” Nature Medicine, vol. 25, no. 8 ...
Deep learning-based predictive identification of neural stem cell ...
Thus, we decided to take full advantage of abundant single-cell images by using deep learning to prospectively identify the differentiation of ...
Deep Learning for the Earth Sciences | Wiley Online Books
xml. CHAPTER 23. Full Access. full. Outlook (Pages: 328-330). Markus Reichstein, Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu,. Summary · PDF ...