The open-source AI voice studio. Clone, dictate, create.
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The open-source AI voice studio. Clone, dictate, create.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Lime: Explaining the predictions of any machine learning classifier
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A unified, comprehensive and efficient recommendation library
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
macOS dictation app
StellarGraph - Machine Learning on Graphs
A library for debugging/inspecting machine learning classifiers and explaining their predictions
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Local speech-to-text for macOS on-device AI, fully private, optional cloud
Natural Gradient Boosting for Probabilistic Prediction
Machine Learning in R
MLBox is a powerful Automated Machine Learning python library.
A neural network library built in JavaScript
moDel Agnostic Language for Exploration and eXplanation
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
A scikit-learn based module for multi-label et. al. classification
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018