# Machine Learning Resources

## Machine Learning

* [Image Classification Tips](https://neptune.ai/blog/image-classification-tips-and-tricks-from-13-kaggle-competitions?utm_source=mlndev\&utm_medium=post\&utm_campaign=blog-image-classification-tips-and-tricks-from-13-kaggle-competitions\&ref=mlnews)

## Machine Learning

* [Choose Optimizer in ML](https://lightly.ai/post/which-optimizer-should-i-use-for-my-machine-learning-project)

## Machine Learning

* [Jina AI Jina AI is a Neural Search Company](https://jina.ai/#pi) : Neural Search
* [Flower: A Friendly Federated Learning Framework](https://flower.dev/) : Federated Machine Learning
* [High Performance and Cheap Cloud Servers Deployment - Vultr.com](https://www.vultr.com/products/cloud-compute/#pricing)
* [NN-512](https://nn-512.com/)

## Machine Learning

* [Torch xray vision](https://github.com/mlmed/torchxrayvision)

## Machine Learning

* [Gradio Machine Learning Hosting](https://gradio.app/hub)
* [Gradio Introducing Hosted](https://gradio.app/introducing-hosted)
* [hendrycks/natural-adv-examples: A Harder ImageNet Test Set](https://github.com/hendrycks/natural-adv-examples)

## Machine Learning Applications

* [A Japanese company cut 80% of the time needed to manually count pearls - Hacker News](https://news.ycombinator.com/item?id=27261399)
  * [Apps to Automate your Counting!](https://countthings.com/en/)
* [GitHub - vibhuagrawal14/segmentation-of-overlapping-elliptical-objects: Completing overlapping elliptical convex objects through ellipse fitting](https://github.com/vibhuagrawal14/segmentation-of-overlapping-elliptical-objects)\
  💡 : Make this

## Machine Learning

* [How to Train Large Deep Learning Models as a Startup](https://www.assemblyai.com/blog/how-to-train-large-deep-learning-models-as-a-startup/)

## Machine Learning

* [ML Console - Build AI models without a single line of code.](https://mlconsole.com/)

## Machine Learning

* [Machine Learning Algorithms Cheat Sheet—Accel.AI](https://www.accel.ai/anthology/2022/1/24/machine-learning-algorithms-cheat-sheet)

## Machine Learning

* [littlefish](https://littlefish.fish/) predict of number series

## Machine Learning

* [DeepFakes, Can You Spot Them?](https://detectfakes.media.mit.edu/)

## Machine Learning

* [ANN-Benchmarks](https://ann-benchmarks.com/) ANN-Benchmarks is a benchmarking environment for approximate nearest neighbor algorithms search

## Machine Learning

* [Gradio](https://www.gradio.app/)

## Machine Learning

[Using Computer Vision with Drones for Georeferencing](https://blog.roboflow.com/georeferencing-drone-videos/)\
[roboflow-ai/dji-aerial-georeferencing: Detect objects in drone videos and plot them on a map](https://github.com/roboflow-ai/dji-aerial-georeferencing)

[machine-learning-course](https://irosyadi.gitbook.io/irosyadi/machine-learning/machine-learning-course)

## Machine Learning

* [chekoduadarsh/BlocklyML: BlocklyML is a simple visual programming Tool for python and ML. Built on Google Blockly](https://github.com/chekoduadarsh/BlocklyML)
* [Word2Vec Explained. Explaining the Intuition of Word2Vec &…- by Vatsal - Towards Data Science](https://towardsdatascience.com/word2vec-explained-49c52b4ccb71)

## Cloud ML

* [https://cloudburst.host](https://cloudburst.host/)

## Machine Learning

* [dynamite-ready/movie-parser: NWJS wrapper for a wider project.](https://github.com/dynamite-ready/movie-parser)
