sprinterzzj Goto Github PK

-learning-materials-

各种学习资料，包括一些百度云视频链接还有pdf资料

01-unraveling-the-jpeg

Source code for Unraveling the JPEG

18337

18.337 - Parallel Computing and Scientific Machine Learning

18s096sciml

18.S096 - Applications of Scientific Machine Learning

1st-freesound-audio-tagging-2019

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2018-cs109b

Harvard CS109b Public Repository

2018-kaggle-adtrackingfraud

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

3d-deep-learning-paper-list

500lines

500 Lines or Less

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

a-2017

Public Repository for cs109a, 2017 edition

a-pytorch-tutorial-to-sequence-labeling

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

aa203-notes

Course notes for AA203

abseil-cpp

Abseil Common Libraries (C++)

abseil-py

Abseil Common Libraries (Python)

acm-challenge-workbook

《挑战程序设计竞赛》习题册攻略

advml2020

Advanced Topics in Statistical Machine Learning, Oxford Statistics, Hilary Term 2020

aeropython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

aeropython-studentprojects2018

aeroscapes

Aerial Semantic Segmentation Benchmark

age-estimation-pytorch

PyTorch-based CNN implementation for estimating age from face images

agegenderdeeplearning

ai-challenger-scene-classification-baseline

PyTorch implement of AI Challenger scene classification baseline

ai-roadmap

ApacheCN AI 路线图（知识树）

ai_edge_contest

The guys who love making things

aix360

Interpretability and explainability of data and machine learning models

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

algo

101+ coding interview problems with detailed solutions, test cases, and program analysis

alibi

Algorithms for monitoring and explaining machine learning models