Central repository for keeping all the projects of ML-Ai community. You can discuss your ML-Ai projects with professors and Industry experts in this group.
ML-Ai community works towards bridging the gap between academic and industry, beginner and experts.
ML-Ai community believes in Unity is the strength. We are living in an era of Machine Learning/Artificial Intelligence revolution where world is focusing on building smart solutions to solve both solved and unsolved problems. ML-Ai community believes, we can make future bright by focusing on two things.
- Research We observed the industry is far behind the academic research hence it takes
a lot time to make use of academic research. Few of the times, academic research adoption takes more time because of
multiple constraints like worth in the market/marker demand etc but many time we are not able to utilise the full potential
because of less common platforms between industry researchers and academic researchers.
ML-Ai is designed to work as bridge between academic researchers and industry. - Making People Smart ML-Ai community will have people from beginner to experts and objective will be to cross learn and lead to better future.
ML-Ai Experts will act like a Professorto other people in the community. Professors will help others in their projects, doing code reviews helping them with right researcher papers.
We love contributions! Check out the Contribution guide for more information.
Question: How can I start a project under ML-Ai community?
Answer: Please submit your project proposal at https://www.ml-ai.in/projects, your professor from ML-Ai community will reach out to you.
Question: Can I make my existing project part of ML-Ai?
Answer: Yes, you can. We would love to evaluate your work and add as part of this open source project.
Question: How to join as Professor?
Answer: If you love sharing your knowledge, you are more than welcome to reach out to us(https://www.ml-ai.in/)
| Problem Statement | Status | Links | Tags |
|---|---|---|---|
| Credit Card Fraud Detection | COMPLETED | link | fraud_detection, nlp |
| spam-or-ham-classification | COMPLETED | link | fraud_detection, nlp |
| object-detection-realtime | COMPLETED | link | computer_vision, tensor_flow |
| crowd-counting | ONGOING | link | computer_vision, tensor_flow |
| titanic_prediction_challenge | COMPLETED | link | computer_vision, tensor_flow |