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facenet

Face recognition using Tensorflow

fastbook

The fastai book, published as Jupyter Notebooks

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

focus-vision

A full media-stack sdk, include 1-Capturer(form file or camera), 2-Encoder(using x264 or x265), 3-Package(flv,mov,mpeg ...), 4-MediaServer transmit(rtsp,rtp/rtcp,srtp/srtcp,tcp/udp/udt ...), 5-QoS(FEC(Forward Error Corretion),ARQ(Automatic Repeat reQuest - NACK),ABC(Adaptive Bit-rate Control),RTCP-FRI(Full intra-frame request),RTCP-PLI(Picture Loss Indictor)) ...

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

full-stack-data-science

Full Stack Data Science in Python

game-programmer

A Study Path for Game Programmer

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

geometric-intuition

Understanding ML and deep learning through geometry

gradio

Create UIs for your machine learning model in Python in 3 minutes

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

hello-algorithm

🌍「算法面试+算法知识」针对小白的算法训练 | 还包括：1、阿里、字节、滴滴 百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图 （右侧来个 star 吧 🌹，English version supported）

historyobjectrecognition

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interview

Interview = 简历指南 + LeetCode + Kaggle

intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras-yolov3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

kitti

Data loader for KITTI

learnopencv

Learn OpenCV : C++ and Python Examples

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

make-sense

Free to use online tool for labelling photos. https://makesense.ai

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.