dbailongma

dbailongma's Stars

• labmlai/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, ... 🧠

  Language:Python54.4k5.6k

• zhoubolei/bolei_awesome_posters

  CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

  1.4k133

• Phutoast/UCL-CSML-Notes

  My lecture notes during times at UCL.

  Language:TeX264

• lchapel/partial-GW-for-PU

  Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs/2002.08276

  Language:Jupyter Notebook201

• telmo-correa/all-of-statistics

  Self-study on Larry Wasserman's "All of Statistics"

  Language:Jupyter Notebook974278

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.6k2.2k

• zsteve/wtf

  wasserstein tensor factorisation

  Language:Roff6

• artix41/awesome-transfer-learning

  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

  1.7k301

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k867

• bbdamodaran/deepJDOT

  Implementation of DeepJDOT in Keras

  Language:Python6021

• lwehbe/10606607_M20

  Language:Jupyter Notebook147

• tushushu/imylu

  Pure Python implementation of machine learning algorithms

  Language:Python442255

• gbosquechacon/statrethink_course_in_pymc3

  Statistical Rethinking course in pymc3

  Language:Jupyter Notebook14344

• kilianFatras/awesome-optimal-transport

  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.

  20327

• JWarmenhoven/DBDA-python

  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

  Language:Jupyter Notebook670263

• Stomach-ache/awesome-long-tail-learning

  44935

• jilljenn/tryalgo

  Algorithms and data structures for preparing programming competitions: basic and advanced

  Language:Python370106

• maqqbu/MMSR

  The code for NeurIPS 2020 paper: Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion.

  Language:MATLAB82

• CCExtractor/vardbg

  A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning.

  Language:Python1.1k90

• inancgumus/learngo

  ❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.

  Language:Go18.8k2.6k

• cliburn/sta-663-2021

  Computational Statistics and Statistical Computing

  Language:Jupyter Notebook3634

• jakevdp/WhirlwindTourOfPython

  The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

  Language:Jupyter Notebook3.7k1.6k

• pybind/pybind11

  Seamless operability between C++11 and Python

  Language:C++15.6k2.1k

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python91.2k9.6k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  199k25.9k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23k4.1k

• MLEveryday/100-Days-Of-ML-Code

  100-Days-Of-ML-Code中文版

  Language:Jupyter Notebook21k5.5k

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  175k50.8k

• ipeirotis/Get-Another-Label

  Quality control code for estimating the quality of the workers in crowdsourcing environments

  Language:Java7026

• welinder/cubam

  Caltech UCSD Binary Annotation Model (CUBAM)

  Language:Python3314