I am a CS Freshman at The University of Toronto. 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, PyTorch, Kubernetes, Kubeflow, PapersWithCode, freeCodeCamp among others. I also love building open-source projects (usually related to Kubernetes and Machine Learning), some of which have been pretty popular
Making Machines Learn
CS UG @UofT |
AI Research, Qualcomm |
Research ML, Vision UofT, Vector |
RT @kubernetes 1.26-9
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UofT, @Qualcomm-AI-research
- Toronto, Canada
- https://rishitdagli.com
- @rishit_dagli
- https://www.cs.toronto.edu/~rishit
Highlights
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MIRNet-TFJS
MIRNet-TFJS PublicTensorFlow JS models for MIRNet for low-light💡 image enhancement
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Fast-Transformer
Fast-Transformer PublicAn implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow
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Gradient-Centralization-TensorFlow
Gradient-Centralization-TensorFlow PublicInstantly improve your training performance of TensorFlow models with just 2 lines of code!
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ML-with-Android-11
ML-with-Android-11 PublicA repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases
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see2sound/see2sound
see2sound/see2sound PublicOfficial code for SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
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