tcglarry Goto Github PK

functional-python

geo

under w checking

good_stuff

graph-neural-networks

A study group related to GNN

grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

hands-on-rl

https://hrl.boyuai.com/

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.

homework

Assignments for CS294-112.

interesing_program

kaggle_predict_sales

Kaggle First Competition - Predict Sales

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

keras-io

Keras documentation, hosted live at keras.io

keras-vis

Neural network visualization toolkit for keras

kg_power_line

learn-git-in-30-days

這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】，歡迎大家 fork 我，如果有看見任何文字勘誤，也歡迎利用 pull request 來通知我修正，謝謝！

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

manipulation

Course notes for MIT manipulation class

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mobilefacenet_tf

Tensorflow implementation for MobileFaceNet

multicharts-powerlanguage

FinTech

numpy-ml

Machine learning, in numpy

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

opencoursecatalog

Bilibili 公开课目录

pixnet

PixNet foodai competition

pixnet-competition

2018 PIxNet foodai

pixnet_competition

MY_SK_ll

pixnet_my_sk_ll

PixNet food_ai competition

project_sdp

collaboration with TxO

project_travel

travel info

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book