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University of Auckland
- Auckland, New Zealand
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00:49
(UTC -12:00) - https://profiles.auckland.ac.nz/qiming-bao
- @qiming_bao
- https://14h034160212.github.io/
Highlights
Starred repositories
Google Research
Instruct-tune LLaMA on consumer hardware
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
InferSent sentence embeddings
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Dual LSTM Encoder for Dialog Response Generation
A list of NLP(Natural Language Processing) tutorials
Examples of matplotlib codes and plots
tensorflow implementation
Sentiment Analysis with LSTMs in Tensorflow
A collection of notebooks for Natural Language Processing from NLP Town
OpenAI CLIP text encoders for multiple languages!
Hierarchical Attention Networks for Document Classification in PyTorch
Introduction to Deep Learning for Natural Language Processing
Building a Simple Chatbot from Scratch in Python (using NLTK)
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences