He Pengfei's Projects
100 Days of ML Coding
500 Lines or Less
A curated list of awesome computer vision resources
The most cited deep learning papers
A curated list of awesome Python frameworks, libraries, software and resources
Code for probabilistic categorical attack
📚 Solutions to Introduction to Algorithms Third Edition
Making big AI models cheaper, easier, and more scalable
Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Analytical Web Apps for Python. No JavaScript Required.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The fastai deep learning library, plus lessons and and tutorials
Inference code for LLaMA models
Papers and resources related to the security and privacy of LLMs 🤖
针对中文,演示Markdown的各种语法
I have a multivariate statistics lesson and I put all my homework here, including code and description.