jeremy-lf Goto Github PK

algorithm_for_interview-chinese

Algorithm for Interview（面试算法笔记-中文）

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

asff

yolov3 with mobilenet v2 and ASFF

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-attention-mechanism-in-cv

:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

cocoapi

COCO API - Dataset @ http://cocodataset.org/

convert-pascal-voc-to-coco

Python script for Pascal VOC to COCO conversion

crash-course-computer-science-chinese

:computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成)

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

eq_recognition

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ghostnet

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

great-deep-learning-tutorials

A Great Collection of Deep Learning Tutorials and Repositories

internship_oppo

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machinelearningtutorial

机器学习笔记

math_formula

math symbol recognition

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection [TPAMI]

paddle-inference-demo

paddle_attention_cnns

Some attention boosted CNNs implemented using PaddlePaddle, mainly for classification tasks.

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

paddlenlp

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.