FroyoZzz / Cv Papers Codes
CV 方向论文阅读以及手写代码实现
Stars: ✭ 67
Labels
Projects that are alternatives of or similar to Cv Papers Codes
Bayesian Analysis With Python Second Edition
Bayesian Analysis with Python - Second Edition, published by Packt
Stars: ✭ 66 (-1.49%)
Mutual labels: jupyter-notebook
Contracode
Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning
Stars: ✭ 66 (-1.49%)
Mutual labels: jupyter-notebook
Tensorflow deep taylor lrp
Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
Stars: ✭ 66 (-1.49%)
Mutual labels: jupyter-notebook
Mimic Workshop
Introduction to MIMIC-III, the Critical Care Database
Stars: ✭ 65 (-2.99%)
Mutual labels: jupyter-notebook
Short Text Classification
SVM, FastText, TextCNN, BiGRU, CNN-BiGRU在短分本分类上的对比
Stars: ✭ 66 (-1.49%)
Mutual labels: jupyter-notebook
Jupyter Themes
Custom Jupyter Notebook Themes
Stars: ✭ 8,879 (+13152.24%)
Mutual labels: jupyter-notebook
Hacktoberfest2020 Expert
Hacktoberfest 2020. Don't forget to spread love and if you like give me a ⭐️
Stars: ✭ 67 (+0%)
Mutual labels: jupyter-notebook
Sru Deeplearning Workshop
دوره 12 ساعته یادگیری عمیق با چارچوب Keras
Stars: ✭ 66 (-1.49%)
Mutual labels: jupyter-notebook
Jupyter tfbook
Jupyter Notebooks for TensorFlow Book
Stars: ✭ 66 (-1.49%)
Mutual labels: jupyter-notebook
Tex An mesh
Fully textured and animatable human body mesh reconstruction from a single image
Stars: ✭ 67 (+0%)
Mutual labels: jupyter-notebook
Face Mask Detection
In this, I am attaching my code for building a CNN model to detect if a person is wearing face mask or not using the webcam of their PC.
Stars: ✭ 67 (+0%)
Mutual labels: jupyter-notebook
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。
Stars: ✭ 10,826 (+16058.21%)
Mutual labels: jupyter-notebook
CV-Papers-Codes
CV 方向相关代码 持续更新中······
公众号「MachineLearning学习之路」，欢迎关注～
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].