Pinned Repositories
audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
bookcorpus
Crawl BookCorpus
chat
基于electron和nodejs实现仿TIM界面,实现基本的添加好友,单聊,群聊,语音通话,视频通话,发送文件,发送图片
course-v3
The 3rd edition of course.fast.ai
fastai1
v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.
fastbook
The fastai book, published as Jupyter Notebooks
GROMACS-Protein-Ligand
primerpython
code that makes videos for this: youtube.com/c/primerlearning
PrimerTools
Tool used for producing Primer YouTube videos
biaoqingbao's Repositories
biaoqingbao/audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
biaoqingbao/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
biaoqingbao/bookcorpus
Crawl BookCorpus
biaoqingbao/chat
基于electron和nodejs实现仿TIM界面,实现基本的添加好友,单聊,群聊,语音通话,视频通话,发送文件,发送图片
biaoqingbao/course-v3
The 3rd edition of course.fast.ai
biaoqingbao/fastai1
v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.
biaoqingbao/fastbook
The fastai book, published as Jupyter Notebooks
biaoqingbao/GROMACS-Protein-Ligand
biaoqingbao/primerpython
code that makes videos for this: youtube.com/c/primerlearning
biaoqingbao/PrimerTools
Tool used for producing Primer YouTube videos
biaoqingbao/read2
following fast.at
biaoqingbao/rxnmapper
RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).
biaoqingbao/Sentiment-classification-using-transformers
Fine-tuning BERT to classify the sentiment of a given text (using Pytorch framework).
biaoqingbao/Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the
biaoqingbao/transformers_hugface
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
biaoqingbao/walkthru2
sample repo for walkthru 2 of fast.ai course