Another gem in the NLP libraries Python developers use to handle natural languages.The Patternallowspart-of-speech tagging, sentiment analysis, vector space modeling, SVM, clustering, n-gram search, and WordNet. You can use a DOM parser, a web crawler, and helpful APIs like Twitter or Facebo...
Python-ELM PythonXY XCS PyML MLPY (inactive) Orange Monte PYMVPA MDP (inactive) Shogun PyMC Gensim Neurolab FFnet (inactive) LibSVM Spearmint Chainer topik Crab CoverTree breze deap neurolab Spearmint yahmm pydeep Annoy neon sentiment Free Monitor with Ping Bot # monitoring # uptime # observabili...
ThunderSVM (🥉22 · ⭐ 1.6K · 💤) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 GitHub (👨💻 37 · 🔀 220 · 📥 2.9K · 📋 230 - 35% open · ⏱️ 01.04.2024): git clone https://github.com/Xtra-Computing/thundersvm PyPi (📥 1.6K / mo...
ThunderSVM (🥉20 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 GitHub (👨💻 35 · 🔀 200 · 📥 2.7K · 📋 220 - 31% open · ⏱️ 13.05.2023): git clone https://github.com/Xtra-Computing/thundersvm PyPi (📥 300 / month): pip...
liquidSVM- An implementation of SVMs. scikit-rvm- Relevance Vector Machine implementation using the scikit-learn API. ThunderSVM- A fast SVM Library on GPUs and CPUs. Deep Learning PyTorch PyTorch- Tensors and Dynamic neural networks in Python with strong GPU acceleration. ...
大多数Flink应用,包含批量计量和流式计算都依赖外部配置参数。 例如 指定输入和输出来源(像路径和地址)、系统参数(并行、运行时配置)和应用参数(经常在用户的函数中使用到). 从0.9版本我们就提供了一个简单的基本工具:ParameterTool,用于解决这些问题。 你也可以不使用这里提到的ParameterTool工具。其他框架,例如Commons ...
Currently, Core ML cannot train models itself, and the only trained models available from Apple in Core ML format are for image classification. However, Core ML Tools, a Python package, can convert models from Caffe, Keras, scikit-learn, XGBoost, and LIBSVM. — Martin Heller...
The Build classifier and classify functionality enables both the option to easy build classifiers based on various models such as Support Vector Machines (SVM), Random Trees (RT) and kNN and to classify new samples absed on the selected model. 7.6 Editor Rating 7.0 Aggregated User Rating 12 ra...
SVM introduction SVM Mathematics Non-linear SVM Clustering Analysis Clustering Introduction K-means theory k-means Mathematical kmeans practical part 1 kmeans practical part 2 ANN Rise of artificial neuron Introduction to ANN Perceptron Activation Functions ...
Hyperopt: A Python library for hyperparameter optimization Tensorflow/Deep Nets Always make sure your model is able to overfit to a couple pieces of the training data. Once you know that the network is learning correctly and is able to overfit, then you can work on building a more general ...