Showing 1-20 of 116 projects
Comprehensive Chinese NLP resource collection for developers
Deep learning paper implementations with side-by-side notes and explanations
High-performance serving framework for large language and multimodal models
Optimized attention mechanism for deep learning
Qwen is a large language model series by Alibaba Cloud with multiple variants and capabilities.
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
A tutorial for natural language processing (NLP) using deep learning frameworks like PyTorch and TensorFlow.
RWKV is an RNN-based language model with high performance, fast training, and flexible transformer-like architecture.
Efficient multi-head latent attention kernels for AI coding tools and frameworks.
A PyTorch library that implements various attention mechanisms and other neural network components for visual tasks.
LeetCUDA is a comprehensive collection of modern CUDA learning resources, including 200+ CUDA kernels, Tensor Cores, HGEMM, and FA-2 MMA.
A PyTorch implementation of the Transformer model, a popular deep learning architecture for natural language processing.
A comprehensive library of text classification models and techniques built with deep learning.
BertViz is a Python library for visualizing attention in transformer models like BERT, GPT-2, and RoBERTa.
Efficient streaming language models with attention sinks for AI-powered coding tools and applications.
An open-source Chinese version of the LLaMA and Alpaca language models with 64K long context support for advanced NLP applications.
Official release of the InternLM series of large language models focused on building AI tools and chatbots.
A transformer-based time series forecasting library for vibe coders using AI tools.
A collection of popular Chinese text classification models implemented in PyTorch, ready to use out-of-the-box.
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