vanvae's Stars
jackfrued/Python-100-Days
Python - 100天从新手到大师
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
microsoft/terminal
The new Windows Terminal and the original Windows console host, all in the same place!
3b1b/manim
Animation engine for explanatory math videos
ngosang/trackerslist
Updated list of public BitTorrent trackers
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
fxsjy/jieba
结巴中文分词
geekcomputers/Python
My Python Examples
googlehosts/hosts
镜像:https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts
jupyter/notebook
Jupyter Interactive Notebook
coursera-dl/coursera-dl
Script for downloading Coursera.org videos and naming them.
instillai/machine-learning-course
:speech_balloon: Machine Learning Course with Python:
allegroai/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
r0f1/datascience
Curated list of Python resources for data science.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
electricitymaps/electricitymaps-contrib
A real-time visualisation of the CO2 emissions of electricity consumption
jupyter/nbconvert
Jupyter Notebook Conversion
shawlu95/Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
firmai/business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
ViRb3/de4dot-cex
📦 de4dot deobfuscator with full support for vanilla ConfuserEx
fuqiuai/wordCloud
用python进行文本分词并生成词云
Sierkinhane/CS229-ML-Implementation
Implementation of algorithms introduced in CS229.
xieliaing/SAS
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience from 2004 to 2014.
cgevans/scikits-bootstrap
Python/numpy bootstrap confidence interval estimation.
friendly/SAS-macros
SAS macros for statistics and graphics
learning511/cs229-assignments
sassoftware/enlighten-apply
Example code and materials that illustrate applications of SAS machine learning techniques.
Boemska/macrocore
Production Ready Macros for SAS Application Developers
maxioriv/HB_4.16
无壳兄弟
magician333/hbmulligan
edit HearthBuddy mulligan