https://github.com/aniketmaurya/ai-ml-resources

Machine Learning & Deep Learning Resource links- Paper, blog, code, videos
https://github.com/aniketmaurya/ai-ml-resources

cyclegan deep-learning gan machine-learning object-detection paper pytorch tensroflow

Last synced: 6 days ago
JSON representation

Machine Learning & Deep Learning Resource links- Paper, blog, code, videos

• Host: GitHub
• URL: https://github.com/aniketmaurya/ai-ml-resources
• Owner: aniketmaurya
• License: mit
• Created: 2020-07-12T14:49:24.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-01-16T15:04:39.000Z (10 months ago)
• Last Synced: 2024-05-02T03:16:40.895Z (7 months ago)
• Topics: cyclegan, deep-learning, gan, machine-learning, object-detection, paper, pytorch, tensroflow
• Homepage: http://aniketmaurya.com/ml-resources
• Size: 19.9 MB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Resources for AI/ML and LLMs

## LLMs & RAGs

### RAGs

* [NVIDIA Generative AI Examples](https://github.com/NVIDIA/GenerativeAIExamples/tree/main/RetrievalAugmentedGeneration?nvid=nv-int-tblg-996848)

### LLM Agents

* [Introduction to LLM Agents](https://developer.nvidia.com/blog/introduction-to-llm-agents/)

* [Building Your First LLM Agent Application](https://developer.nvidia.com/blog/building-your-first-llm-agent-application/)

## ML System Design

* [CS 329S: Machine Learning Systems Design](https://stanford-cs329s.github.io/syllabus.html)

## MLOps

* [Machine Learning Engineering for Production (MLOps) Specialization](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

* [Introducing MLOps](https://www.oreilly.com/library/view/introducing-mlops/9781492083283/)

* [Awesome MLOps](https://github.com/visenger/awesome-mlops)

## Object detection

### Single Stage Detectors

#### SSD: Single Shot MultiBox Detector

* [Paper](https://arxiv.org/abs/1512.02325)

* [Code](https://github.com/aniketmaurya/ssd-tf2-tfds)

### Anchor-less Object Detection Models

  

  Source: https://github.com/xingyizhou/CenterNet

#### CenterNet: Keypoint Triplets for Object Detection

* [Paper](https://arxiv.org/abs/1904.08189)

* [Code](https://github.com/xingyizhou/CenterNet)

#### CornerNet: Detecting Objects as Paired Keypoints

* [Paper](https://arxiv.org/abs/1808.01244)

* [Code](https://github.com/princeton-vl/CornerNet)

* [Blog](https://opencv.org/latest-trends-of-object-detection-from-cornernet-to-centernet-explained-part-i-cornernet/)




## GAN

  

  Source: https://github.com/junyanz/CycleGAN/

### DCGAN: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

  

  Source: from paper

* [Paper](https://arxiv.org/abs/1511.06434)

* [Code](https://github.com/aniketmaurya/GANs-PyTorch-models/blob/main/DCGAN/dcgan.ipynb)

* [Blog](https://hardikbansal.github.io/CycleGANBlog/) - Understanding and Implementing CycleGAN in TensorFlow

### CycleGAN

* [Paper](https://arxiv.org/pdf/1703.10593.pdf)

* [Code](https://github.com/junyanz/CycleGAN)

* [Blog](https://hardikbansal.github.io/CycleGANBlog/) - Understanding and Implementing CycleGAN in TensorFlow

### GradCAM

* [Article](https://fairyonice.github.io/Grad-CAM-with-keras-vis.html)

### Interpretable Machine Learning (A Guide for Making Black Box Models Explainable Book)

* [Online Free version](https://christophm.github.io/interpretable-ml-book/)

* [Ebook](https://leanpub.com/interpretable-machine-learning)

* [Print version](https://www.lulu.com/shop/christoph-molnar/interpretable-machine-learning/paperback/product-24036234.html)