- Awesome Machine Learning
- Machine Learning for Beginners (A Curriculum)
- ML Glossary
- Homemade Machine Learning
- ML Residency
- Machine Learning Pipeline
- Machine Learning Notes
- Machine Learning for Software Engineers
- Applied Machine Learning
- Papers Reading Roadmap
- Machine Learning Interviews
- Production Machine Learning
- Interactive Tools
- Foundation Of ML
- Best of Machine Learning with Python
- Practical Reinforcement Learning
- MLOps
- Machine Learning Projects And Tutorials
- MLSS
- Deep Learning For Music
- ML Surveys
- Paper Code Interpretation
- Deep Learning In Production
- Deep Learning Paper Implementations
- Public Datasets
- Awesome TensorFlow
- Deep Learning Drizzle
- Machine Learning on Source Code
- Autonomous Vehicles
- GANs Applications & Demonstrations
- Computer Vision
- Pytorch
- Awesome NLP
- Have Fun with Machine Learning
- Production Deep Learning
- Awesome Reinforcement Learning
- Machine Learning Cheat Sheets
- Deep Learning Papers
- Machine learning Basics
- Machine Learning Videos
- Awesome Youtubers
- Machine Learning Tutorials
- Awesome Deep Learning
- Speech and Natural Language Processing
- Machine Learning with Python
- 3D Machine Learning
- Tutorials
- Machine Learning Applications in Industry
- Machine Learning Mindmap
- Python Machine Learning Jupyter Notebooks
- Financial Machine Learning and Data Science
- Machine Learning Interpretability
- Bayesian Machine Learning Notebooks
- State-of-the-art result for all Machine Learning Problems
- Machine Learning Papers Summaries
- Tracking & Detection
- DeepLearn Implementation
- Machine Learning Notebooks
- 100 Days of Machine Learning Challenge
- Awesome AWS
- Deep Learning Research Papers
- Core ML Models
- Useful Java Links
- The GAN Zoo
- Decision Tree Research Papers
- PyTorch Image Models
- Robotics
- Machine Learning in Asset Management
- From Zero to Research Scientist Full Resources Guide
- Machine Learning Interviews
- Deep Learning For Graphs
- Machine Learning Tutorials
- TensorFlow Examples
- Quantum Machine Learning
- Machine Learning for Cyber Security
- Awesome Artificial Intelligence
- Start Machine Learning in 2021
- Projects
- Mobile Machine Learning
- Machine Learning Surveys
- Machine Learning From Scratch
- System for ML
- Quant Machine Learning Trading
- Awesome ML for Cyber Security
- Machine Learning Algorithms
- Stock Prediction Models
- Deep Learning Projects
- Models
- Deep Vision
- Deep Learning Project Ideas
- Multimodal ML
- TensorFlow without a PHD
- Machine Learning With Ruby
- Graph-based Deep Learning
- Image Classification
- Deep Learning Papers By Task
- Deep Learning For Tracking & Detection
- Graph Deep Learning
- Awesome Python
- LearnOpenCV
- Roadmaps
- Tools
- Reinforcement Learning
- NLP Overview
- Text Summarization
- Community Detection
- AutoDL
- Knowledge Graphs
- NLP & Machine Learning Surveys
- Style Transfer In Text
- Awesome Pytorch
- Textual Adversarial Attack and Defense
- NLP Tasks
- Courses And Video Lectures
- 3D Reconstruction
- Human Pose Estimation
- Pretrained Models
- Text Detection and Recognition
- Image To Image
- Capsule Networks
- Synthetic Computer Vision
- Neural Rendering
- TensorFlow 2.x Tutorials
- Data Augmentation
- Time Series in Python
- Anomaly Detection
- AutoML
- Deep / Algorithmic Trading
- Action Recognition
- Object Detection
- Pattern Classification
- Satellite Imagery
- Effective TensorFlow 2
- TensorFlow Tutorials
- Adversarial Nets Papers
- Paper Summaries
- Deep Learning.AI Course Summary
- Deep Learning Roadmap
- Models
- Self Supervised Learning
- NLP Best Practices
- CNN Explainer
- Face Recognition
- Open Source Projects
- Recommender System
- Visual Tracking Papers
- Computational Advertising Papers
- 60 Days Of Deep Reinforcement Learning
forked from manjunath5496/Important-Github-ML-Repositories
-
Notifications
You must be signed in to change notification settings - Fork 0
rdwadhwani0220/Important-Github-ML-Repositories
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
"Don’t waste your time in anger, regrets, worries, and grudges. Life is too short to be unhappy."― Roy T. Bennett
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published