A multi-voice TTS system trained with an emphasis on quality
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
- c-plus-plus
- machine-learning
- online-learning
- contextual-bandits
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Distributed Deep learning with Keras & Spark
Consistent hashing with bounded loads in Golang
- consistent-hashing
- golang
- load-balancing
- consistent-hashing-library
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
- graph
- graph-sampling
- network-sampling
- random-walk
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
- 3d-reconstruction
- kinect
- computer-vision
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
- go
- golang
- natural-language-processing
- nlp
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
A fast xgboost feature selection algorithm
- machine-learning
- machine-learning-algorithms
- feature-selection
- xgboost-algorithm
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
- tensorflow
- python3
- keras
- resnet-101
Latest hashcat docker for CUDA, OpenCL, and POCL. Deployed on Vast.ai
A strongly-typed genetic programming framework for Python
- python
- ipynb
- genetic-programming
- framework
Lemmatizer for text in English. Inspired by Python's nltk.corpus.reader.wordnet.morphy
- rubynlp
- lemmatizer
- nlp
- wordnet
Surface realiser (part of a Natural Language Generation system) using Tree Adjoining Grammar
Turn any Java, Kotlin or Python project into an AI-ready context file in one command.