Starred repositories
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
《动手学大模型Dive into LLMs》系列编程实践教程
Awesome-LLM: a curated list of Large Language Model
FlashMLA: Efficient Multi-head Latent Attention Kernels
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
21 Lessons, Get Started Building with Generative AI
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Making large AI models cheaper, faster and more accessible
使用聊天记录和播客文章，基于chatGLM-6B训练自己的数字克隆的方案实现，包括用到的脚本和最后部署成前端页面的代码
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Apache InLong - a one-stop, full-scenario integration framework for massive data
Productive, portable, and performant GPU programming in Python.
An Industrial Grade Federated Learning Framework
Generate embeddings from large-scale graph-structured data.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Implementation of Graph Convolutional Networks in TensorFlow
A search tool helps dev to solve the naming things problem.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
TensorFlow code and pre-trained models for BERT
A curated list of network embedding techniques.
Go AI program which implements the AlphaGo Zero paper
scikit-learn: machine learning in Python