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ykchasingwind's Projects

adult-census-income icon adult-census-income

成人收入普查预测,该数据集属于非平衡数据集,需要用ROC评价性能,精度达89.7%

auto_ml icon auto_ml

Automated machine learning for analytics & production

bankcard-recognizer icon bankcard-recognizer

💳 Extracting numbers from bankcard, based on Deep Learning. 基于深度学习的银行卡号识别与定位系统。

books icon books

📚 All programming languages books

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

boston-house-prices icon boston-house-prices

对波士顿房价进行预测,是一个回归问题,用到超参数调优,学习曲线,R2作为性能评价。

chinese-llama-alpaca-2 icon chinese-llama-alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

dcic-failure-prediction-of-concrete-piston-for-concrete-pump-vehicles icon dcic-failure-prediction-of-concrete-piston-for-concrete-pump-vehicles

Traditional approaches to production equipment maintenance remain mainly in corrective maintenance and routine-based maintenance. Corrective maintenance, which is no fail no repair, implies unscheduled downtime of equipment, severe security risk and unacceptable economic loss, while routine or time-based maintenance is time consuming and costly. By data analysis and modeling, predictive maintenance forecasts the residual life or possible failure of key components, and schedules maintenance accordingly,in order to avoid unscheduled downtime and to save cost.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deye icon deye

Keep an Eye on Defects Inspection.

easy_hmm icon easy_hmm

A easy HMM program written with Python, including the full codes of training, prediction and decoding.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

flowise icon flowise

Drag & drop UI to build your customized LLM flow

github icon github

GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.

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