🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Build, Manage and Deploy AI/ML Systems
A system for quickly generating training data with weak supervision
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
OpenMMLab Foundational Library for Training Deep Learning Models
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
A Python native dynamical system simulation framework in the block diagram paradigm.
Teaches students Robot programming in python by having them create code that passes the unit tests