jw1212's Stars
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
AssemblyAI-Community/Machine-Learning-From-Scratch
Implementation of popular ML algorithms from scratch
SimplifyJobs/New-Grad-Positions
A collection of full time roles in SWE, Quant, and PM for new grads.
ageron/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.
hrue/r-inla
This is the public repository for the r-inla project
jw1212/awesome-causal-inference
Causal inference reading list
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
mmistakes/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
WalePhenomenon/Hausa-NMT
Hausa-NMT: Empirical Study of Neural Machine translation for English-Hausa-English
leehanchung/cs224n
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
yngvem/group-lasso
Group Lasso implementation following the scikit-learn API
azl397985856/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
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）
recommenders-team/recommenders
Best Practices on Recommendation Systems
amspector100/knockpy
Knockoffs for controlled variable selection
FeiX-OvO/PSTAT_234_Final_project
ageron/handson-ml2
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.
jupyter/docker-stacks
Ready-to-run Docker images containing Jupyter applications
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
shadowsocks/shadowsocks-windows
A C# port of shadowsocks
TZstatsADS/Fall2018-Proj1-Wjx12
Fall2018-Proj1-Wjx12 created by GitHub Classroom
TZstatsADS/Fall2018-project5-sec2-grp1
Fall2018-project5-sec2proj5_grp1 created by GitHub Classroom
TZstatsADS/Fall2018-Project2-sec2proj2_grp3
Fall2018-Project2-sec2_proj2_gr3 created by GitHub Classroom
TZstatsADS/Fall2018-Proj3-Sec2-grp3
Fall2018-Proj3-Sec2--sec2proj3_grp3 created by GitHub Classroom
TZstatsADS/Fall2018-Project4-sec2-grp3
Fall2018-Project4-sec2--sec2proj4_grp3 created by GitHub Classroom
TZstatsADS/ADS_Teaching
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).