⚪️ Tracking Objects as Points
Simultaneous object detection and tracking using center points
Github: https://github.com/xingyizhou/CenterTrack
Paper: https://arxiv.org/abs/2004.01177v1
Simultaneous object detection and tracking using center points
Github: https://github.com/xingyizhou/CenterTrack
Paper: https://arxiv.org/abs/2004.01177v1
GitHub
GitHub - xingyizhou/CenterTrack: Simultaneous object detection and tracking using center points.
Simultaneous object detection and tracking using center points. - xingyizhou/CenterTrack
https://t.me/Artificial_Intelligence_AI
Fresh picks from ArXiv
ICML 20 submissions, AISTATS 20, graphs in math, and Stephen Hawking 👨🔬
ICML 2020 submissions
Fast Detection of Maximum Common Subgraph via Deep Q-Learning (https://arxiv.org/abs/2002.03129)
Random Features Strengthen Graph Neural Networks (https://arxiv.org/abs/2002.03155)
Hierarchical Generation of Molecular Graphs using Structural Motifs (https://arxiv.org/pdf/2002.03230.pdf)
Graph Neural Distance Metric Learning with Graph-Bert (https://arxiv.org/abs/2002.03427)
Segmented Graph-Bert for Graph Instance Modeling (https://arxiv.org/abs/2002.03283)
Haar Graph Pooling (https://arxiv.org/abs/1909.11580)
Constant Time Graph Neural Networks (https://arxiv.org/abs/1901.07868)
https://t.me/Artificial_Intelligence_AI
AISTATS 20
Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis (https://arxiv.org/abs/1907.05632)
https://t.me/Artificial_Intelligence_AI
Math
Some arithmetical problems that are obtained by analyzing proofs and infinite graphs (https://arxiv.org/abs/2002.03075)
Extra pearls in graph theory (https://arxiv.org/abs/1812.06627)
Distance Metric Learning for Graph Structured Data (https://arxiv.org/abs/2002.00727)
https://t.me/Artificial_Intelligence_AI
Surveys
Generalized metric spaces. Relations with graphs, ordered sets and automata : A survey (https://arxiv.org/abs/2002.03019)
https://t.me/Artificial_Intelligence_AI
Stephen Hawking 👨🔬
Stephen William Hawking: A Biographical Memoir (https://arxiv.org/abs/2002.03185)
Fresh picks from ArXiv
ICML 20 submissions, AISTATS 20, graphs in math, and Stephen Hawking 👨🔬
ICML 2020 submissions
Fast Detection of Maximum Common Subgraph via Deep Q-Learning (https://arxiv.org/abs/2002.03129)
Random Features Strengthen Graph Neural Networks (https://arxiv.org/abs/2002.03155)
Hierarchical Generation of Molecular Graphs using Structural Motifs (https://arxiv.org/pdf/2002.03230.pdf)
Graph Neural Distance Metric Learning with Graph-Bert (https://arxiv.org/abs/2002.03427)
Segmented Graph-Bert for Graph Instance Modeling (https://arxiv.org/abs/2002.03283)
Haar Graph Pooling (https://arxiv.org/abs/1909.11580)
Constant Time Graph Neural Networks (https://arxiv.org/abs/1901.07868)
https://t.me/Artificial_Intelligence_AI
AISTATS 20
Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis (https://arxiv.org/abs/1907.05632)
https://t.me/Artificial_Intelligence_AI
Math
Some arithmetical problems that are obtained by analyzing proofs and infinite graphs (https://arxiv.org/abs/2002.03075)
Extra pearls in graph theory (https://arxiv.org/abs/1812.06627)
Distance Metric Learning for Graph Structured Data (https://arxiv.org/abs/2002.00727)
https://t.me/Artificial_Intelligence_AI
Surveys
Generalized metric spaces. Relations with graphs, ordered sets and automata : A survey (https://arxiv.org/abs/2002.03019)
https://t.me/Artificial_Intelligence_AI
Stephen Hawking 👨🔬
Stephen William Hawking: A Biographical Memoir (https://arxiv.org/abs/2002.03185)
Telegram
Artificial Intelligence
This Channel is to spread knowledge on Artificial Intelligence.❤️
We are here to simplify and understand everything about Artificial Intelligence.🤖
Join us in this mission.❤️
Let’s Grow Together.😍
eduai.web@gmail.com
We are here to simplify and understand everything about Artificial Intelligence.🤖
Join us in this mission.❤️
Let’s Grow Together.😍
eduai.web@gmail.com
https://t.me/Artificial_Intelligence_AI
More than 200 NLP datasets - this is gold (last update 21.01.202)
https://quantumstat.com/dataset/dataset.html
and also Google provided dataset search tool for publicly available datasets:
https://datasetsearch.research.google.com/
More than 200 NLP datasets - this is gold (last update 21.01.202)
https://quantumstat.com/dataset/dataset.html
and also Google provided dataset search tool for publicly available datasets:
https://datasetsearch.research.google.com/
Machine Learning and Data Science free online courses to do in quarantine
A. Beginner courses
1. Machine Learning
2. Machine Learning with Python
B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks
C. Advanced course
5. Advanced Machine Learning Specialization
https://t.me/Artificial_Intelligence_AI
A. Beginner courses
1. Machine Learning
2. Machine Learning with Python
B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks
C. Advanced course
5. Advanced Machine Learning Specialization
https://t.me/Artificial_Intelligence_AI
Coursera
Supervised Machine Learning: Regression and Classification
In the first course of the Machine Learning ... Enroll for free.
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First glance of Linear Regression!!! Uploading soon!!! Subscribe: https://www.youtube.com/asifimmanad
https://youtu.be/P2g8KUMEJzE
Learn first algorithm in Machine Learning!!! 😃
What is Linear Regression?
https://t.me/Artificial_intelligence_AI
Learn first algorithm in Machine Learning!!! 😃
What is Linear Regression?
https://t.me/Artificial_intelligence_AI
YouTube
First Algorithm in Machine Learning | Linear Regression | What is Linear Regression? | AI with AI
#linearregression #machinelearning #supervisedlearning
Link to Other videos:
Types of Machine Learning:-
https://www.youtube.com/watch?v=0ucFy25_YqU&t=68s
How to get started in AI:-
https://www.youtube.com/watch?v=p8IohflXesU&t=335s
What is Machine Learning?…
Link to Other videos:
Types of Machine Learning:-
https://www.youtube.com/watch?v=0ucFy25_YqU&t=68s
How to get started in AI:-
https://www.youtube.com/watch?v=p8IohflXesU&t=335s
What is Machine Learning?…
Artificial Intelligence pinned «https://youtu.be/P2g8KUMEJzE Learn first algorithm in Machine Learning!!! 😃 What is Linear Regression? https://t.me/Artificial_intelligence_AI»
Artificial Intelligence pinned «Build your first ML model using Jupyter Notebook and scikit learn!!! ❤️ https://youtu.be/7MJW1sEefhE»
