reynard-hu Goto Github PK

acmmm_2022_cgrl

andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-survey-graphs-with-heterophily

A Survey of Learning from Graphs with Heterophily

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

coding-interview-university

A complete computer science study plan to become a software engineer.

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning.ai

Some work of Andrew Ng's course on Coursera

deeplearning.ai_jupyternotebooks

DeepLearning.ai课程学习Jupyter Notebook作业

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dive-into-dl-tensorflow2.0

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同意

essentialmath

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gemini_huweb

geminichat

google Gemini Web Online

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

halfrost-field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

holiday-similarity

Finding similar images in the Holidays dataset

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版