Beast code in Giters

diandiangang's starred repositories

coordtransform

提供了百度坐标（BD09）、国测局坐标（火星坐标，GCJ02）、和WGS84坐标系之间的转换

Language:JavaScriptMIT429200

flink

Apache Flink

Language:JavaApache-2.02359600

KeyDB

A Multithreaded Fork of Redis

Language:C++BSD-3-Clause1109300

valkey

A flexible distributed key-value datastore that supports both caching and beyond caching workloads.

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DouZero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

Language:PythonApache-2.0404600

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

Language:CApache-2.076300

OpenAPI.NET

The OpenAPI.NET SDK contains a useful object model for OpenAPI documents in .NET along with common serializers to extract raw OpenAPI JSON and YAML documents from the model.

Language:C#MIT136500

pandoc

Universal markup converter

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TyporaCrack

Typora V1.6.7 Typora Crack Typora破解 Typora 激活 Typora activation MD Markdown editor 激活

84300

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

Language:PythonMIT6531400

DirectML

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

Language:PythonMIT212600

dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Language:PythonMIT405500

soccer-data-api

An easy-to-use python web-scrap package that gets json soccer (football) data/stats.

Language:PythonMIT700

football-prediction-model

Multinomial logistic regression model for predicting the outcomes of football matches

Language:RMIT300

data

Data and code behind the articles and graphics at FiveThirtyEight

Language:Jupyter NotebookCC-BY-4.01671700

worldcup_2022_prediction

Excellent tutorial by @ifrankandrade. This tutorial covers web scraping and working with pandas to predict the winner of the 2022 Qatar Fifa World Cup.

Language:PythonGPL-3.0100

modelling-football-scores

My aim to develop a model that predicts the scores of football matches. My code (python) implements various machine learning algorithms to analyze team and player statistics, as well as historical match data to make informed predictions.

Language:Jupyter Notebook900