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These algorithms are fundamental tools in reinforcement learning and are useful for solving various problems that involve sequential decision-making in dynamic environments. See the maze (https://github.com/eantcal/nunn/blob/master/examples/maze/maze.cc) and path finder (https://github.com/eantcal...
one is that the logit function has the nice connection to odds. a second is that the gradients of the logit and sigmoid are simple to calculate. The reason why this is important is that many optimization and machine learning techniques make use of gradients, for example when estimating paramet...
View source code (GitHub) Today, we are excited to release optimizations to Core ML forStable Diffusionin macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut ridin...
First and foremost, thisbookdemonstrates how you can extract signals from a diverse set of data sources and design trading strategies for different asset classes using a broad range of supervised, unsupervised, and reinforcement learning algorithms. It also provides relevant mathematical and statistical ...
GitHub资源:https://github.com/josephmisiti/awesome-machine-learning 3、scikit-learn/scikit-learn Introduction scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. GitHub资源:https://github.com/scikit-learn/scikit-learn ...
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training Comment: EMNLP 2021. (Code: https://github.com/yumeng5/RoSTER) Link: http://arxiv.org/abs/2109.05003 Abstract We study the problem of training named entity recognition (NER) models ...
We added some demo code for this work but no public GitHub code is available for this. Pros/Cons of Using the R-NET Model for Transfer Learning Pros Apart from training this on SQUAD, we can train this model also on MS-MARCO. In MS-MARCO, every question has sev...
All data that support the findings of this study are available from the corresponding authors upon reasonable request. The nano-tomography data sets used for the machine learning development are made publicly available at GitHub repository:https://github.com/hijizhou/LIBNet. ...
The generalizability of a given ML model depends not only on the sample size but also on the number of input variables (i.e., dimensionality). Many algorithms work adequately in low dimensions but become intractable as the dimensionality increases (the so-called ‘curse of dimensionality’)83....