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A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A concise but complete full-attention transformer with a set of promising experimental features from various papers

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A toolkit for reproducible reinforcement learning research.

An open source robotics benchmark for meta- and multi-task reinforcement learning

TensorFlow2 Reinforcement Learning

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

算法工程师-机器学习面试题总结

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Collection of reinforcement learning algorithms

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This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory