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  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    Long short-term memory ( LSTM) [1] is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem [2] present in traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models and other sequence learning methods. It aims to provide a short-term memory for RNN ...

  3. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    Stock market prediction. Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available ...

  4. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    CVE is a list of publicly disclosed cybersecurity vulnerabilities that is free to search, use, and incorporate into products and services. Data can be downloaded from: Allitems: CVE CWE Common Weakness Enumeration data. Data can be downloaded from: Software Development Hardware Design [permanent dead link] Research Concepts. CWE MalwareTextDB

  5. AlphaFold - Wikipedia

    en.wikipedia.org/wiki/AlphaFold

    Glossary. v. t. e. AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. [1] The program is designed as a deep learning system. [2] AlphaFold software has had three major versions. A team of researchers that used AlphaFold 1 (2018) placed first in ...

  6. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    e. Generative Pre-trained Transformer 2 ( GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [ 2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [ 3][ 4][ 5]

  7. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch defines a class called Tensor ( torch.Tensor) to store and operate on homogeneous multidimensional rectangular arrays of numbers. PyTorch Tensors are similar to NumPy Arrays, but can also be operated on a CUDA -capable NVIDIA GPU. PyTorch has also been developing support for other GPU platforms, for example, AMD's ROCm [24] and Apple's ...

  8. Restricted Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Restricted_Boltzmann_machine

    Machine learningand data mining. A restricted Boltzmann machine ( RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs. [1]

  9. List of RNA structure prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA_structure...

    Name Description Knots Links References trRosettaRNA: trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that that the automated predictions by ...