🤗 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.
Repository Index
47,133 repositories indexed
1–17 of 17 · Most stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to develop, deploy and iterate on production-grade ML applications.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Python training for business analysts and traders
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...
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