Meowlang is an esoteric programming language designed for cats.

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Ongoing research training transformer models at scale

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Real-time stream processing for python

Protect your python script, encrypt it as .pye and decrypt when import it

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

∴ deductive reasoning tool

This is the official implementation for the paper 'AutoEncoder by Forest'

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

A game theoretic approach to explain the output of any machine learning model.

Python Performance Benchmark Suite

A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

The Open Images dataset

A description of the implementation of the SVM Delta Plus as described by Vapnik and Izmailov in their JMLR 2015 paper

An implementation of SVM+

This project implements random forests and gradient boosted decision trees (GBDT). The latter uses gradient tree boosting. Both use ensemble learning to produce ensembles of decision trees (that is…

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

Random Forests for Density Estimation in Python

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

TensorFlow plugin for the Unreal Engine.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

A MNIST-like fashion product database. Benchmark 👇

Keras code and weights files for popular deep learning models.

ShadowSocks(SS) traffic sniffer

Recurrent Neural Networks(GRU) for character-level language models on Chinese, in Python/Theano

⏱️ char-rnn for time series data