dtsai7's Stars
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
3b1b/manim
Animation engine for explanatory math videos
google-research/google-research
Google Research
SimplifyJobs/Summer2024-Internships
Collection of Summer 2024 tech internships!
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
tayllan/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
kivy/kivy
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
seanprashad/leetcode-patterns
A pattern-based approach for learning technical interview questions
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
3b1b/videos
Code for the manim-generated scenes used in 3blue1brown videos
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
jankapunkt/latexcv
:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
grananqvist/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
san089/Udacity-Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
shawlu95/Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
damklis/DataEngineeringProject
Example end to end data engineering project.
CourtneyThurston/microsoft-internships
Advice on how to get hired for the 2 most popular SWE-oriented Microsoft internships
benedekrozemberczki/datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
pratikratadiya/awesome-ml-internships
List of companies offering Machine learning and Data Science internships
CambridgeUniversityPress/FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis