100 Days of ML Coding
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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
NumPy aware dynamic Python compiler using LLVM
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Portable Python 3.x Interpreter in Modern C
The Lux Programming Language
One keyboard and mouse for a Mac and a Windows PC over the local network, in either direction.
Algorand Smart Contracts in Python
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
git checkout for releases that span many repos. Version tags that restore your whole product. No server, no database, any language.
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
Graviton: verify your TEAL program by experiment and observation
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