5663015's repositories

segment_anything_webui

A simple Segment Anything WebUI based on Gradio.

LLMs_train

一套代码指令微调大模型

Auto-Augment

Reproduction of paper: AutoAugment: Learning Augmentation Strategies from Data

galaxy_generation

使用深度学习生成星辰大海。Use VAE to generate galaxy images, implemented by Keras

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Imagenet_training

Use several models to train Imagenet

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machine-learning-handbook

《机器学习基础知识手册》

BabyGPTs

A simple implementation of GPTS

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Jarvis_AI

Public project of Webset https://5663015.github.io/

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fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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5663015

Config files for my GitHub profile.

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autoclint

A specially designed light version of Fast AutoAugment

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AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

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fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

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Financial-Knowledge-Graphs

小型金融知识图谱构建流程

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Flight_Data_Analysis

Forecast of aircraft parts failures and optimization of spare parts stock management

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mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

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movie_recommend_system

:movie_camera: 一个简单的电影推荐系统

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

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pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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sgas

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

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Shukongdashi

使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统

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Spatial_Dynamic_Wind_Power_Forecasting

Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected to accurately estimate the wind power supply of a wind farm.

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structure-from-motion

A simplified version of incremental structure from motion to reconstruct the 3D structure of a scene from a sequence of 2D images

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vega

AutoML tools chain

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Vision-Transformer

Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and CIFAR100.

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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