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https://github.com/Rishit-dagli/Rishit-dagli

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I am a CS Freshman at [The University of Toronto](https://web.cs.toronto.edu/). I love researching and working with Machine Learning, especially Computer Vision. Coming from the software and robotics background, I contribute extensively to/ maintain popular open-source projects like [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [Kubernetes](https://kubernetes.io/), [Kubeflow](https://www.kubeflow.org/), [PapersWithCode](https://paperswithcode.com/), [freeCodeCamp](https://www.freecodecamp.org/) among others. I also love building open-source projects (usually related to Kubernetes and Machine Learning), some of which have been pretty popular

### 📕 Latest Blog posts

- [An Intuitive Look at the Dynamics of SGD](https://rishit-dagli.github.io/2024/01/01/sgd.html)
- [The Ferromagnetic Potts Model](https://rishit-dagli.github.io/2023/03/07/ferromagnetic-potts.html)
- [Compression techniques in Statistical Learning](https://rishit-dagli.github.io/2023/03/06/statistical-learning-using-compression.html)
- [Review of Domain Generalization using Causal Matching: Causal Learning Series](https://rishit-dagli.github.io/2023/01/20/domain-generalization-using-causal-matching.html)
- [Kubeflow Pipelines: Orchestrating Machine Learning Workflows - Part 3](https://rishit-dagli.github.io/2022/12/27/kubeflow-pipelines-orchestrating-machine-learning-workflows-part-3.html)

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