zmjm4 Goto Github PK

chatbotcourse

自己动手做聊天机器人教程

china-shapefiles

Shapefiles for drawing China with NCL.

chinese_segment_augment

python3实现互信息和左右熵的新词发现

chinesenlp

Datasets, SOTA results of every fields of Chinese NLP

chinesewordsegmentation

Chinese word segmentation algorithm without corpus（无需语料库的中文分词）

chromium

Chromium browser with SSL VPN. Use this browser to unblock websites.

colossalai

Making large AI models cheaper, faster and more accessible

computer-vision

demo

computer_vision_project

计算机视觉项目实战

conlleval.py

Python version of the evaluation script from CoNLL'00-

conve

Convolutional 2D Knowledge Graph Embeddings resources

convolutional-pose-machines-tensorflow

corenlp

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n-2022

CS231n作业代码实现

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

darknet-1

Convolutional Neural Networks

data-science-notes

数据科学的笔记以及资料搜集

data-structures-and-algorithm

记录学习过的算法与数据结构课程作业与笔记

dataanalysisbypython

datamining

数据挖掘（大数据）的经典算法的java 实现，代码新建java工程，复制到src目录下OK

datamining-1

Java数据挖掘算法

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

dataset

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt