Pinned Repositories
fastertransformer_backend
flask-script
Flask extension to help writing external scripts for Flask applications
mesh
Mesh TensorFlow: Model Parallelism Made Easier
models
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
qstock
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型等; 回测模块为大家提供向量化(基于pandas)和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号,获取更多应用信息。
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
desperadoola's Repositories
desperadoola/fastertransformer_backend
desperadoola/flask-script
Flask extension to help writing external scripts for Flask applications
desperadoola/mesh
Mesh TensorFlow: Model Parallelism Made Easier
desperadoola/models
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
desperadoola/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
desperadoola/qstock
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型等; 回测模块为大家提供向量化(基于pandas)和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号,获取更多应用信息。
desperadoola/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
desperadoola/trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
desperadoola/openbilibili
哔哩哔哩 bilibili go-common