Junzh821's repositories
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
stable-diffusion-jupyterlab-docker
Generate images with Stable Diffusion inside JupyterLab!
Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
papers-we-love
Papers from the computer science community to read and discuss.
MadeWithML
Learn how to responsibly deliver value with ML.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
awesome-gan-inversion
A collection of resources on GAN inversion.
best_AI_papers_2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
superset
Apache Superset is a Data Visualization and Data Exploration Platform
GAN_Review
A Survey and Taxonomy of the Recent GANs Development,computer vision & time series
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
DIG
A library for graph deep learning research
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Feature-Engineering-Made-Easy
Feature Engineering Made Easy, published by Packt
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
googletest
Googletest - Google Testing and Mocking Framework
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
ML-notes
notes about machine learning
GolangTraining
Training for Golang (go language)
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
nlp_course
YSDA course in Natural Language Processing
python3-cookbook
《Python Cookbook》 3rd Edition Translation