Natural Language Processing
hiyouga/EasyR1🔥 active
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EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
PythonApache-2.0updated Nov 8, 2026
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
$ git clone https://github.com/princeton-nlp/WebShop.git▲ +4 ★ this week
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
Natural Language Processing Tasks and References
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Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识
Data from GitHub · snapshot Nov 13, 2026