interested in learning algorithms: machine learning, vision, graphics (simulation)
MIRNet-TFJS. low-light💡 image enhancement
356Rishit-dagli. My GitHub profile README
156Fast-Transformer. transformers go brrr...
148Gradient-Centralization-TensorFlow. Instantly improve your optimizer with just 2 lines of code!
104Greenathon-Plant-AI. Identify Diseases in Plants☘️ with Machine Learning on the web using TFJS
93Perceiver. Implementation of Perceiver, General Perception with Iterative Attention
87ML-with-Android-11. A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases
76CPPE-Dataset. Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
69Face-Recognition_Flutter. A sample Face recognition app using Flutter and Firebase ML Kit
66TF-Watcher. Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
61Python3-by-practice. A repo to learn Python programming
59Nystromformer. An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention
57Conformer. An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras
45Transformer-in-Transformer. An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
43Deep-Learning-With-TensorFlow. All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
43GLOM-TensorFlow. An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
37Astroformer. This repository contains the official implementation of Astroformer, an ICLR Workshop 2023 paper.
32Whatsapp-mass-messaging-Python. A python code which uses web automation to send mass whatsapp messages to people without having to save the phone numbers which are provided in csv file.
31MakeCode-Android. Run MakeCode Arcade projects on Android!
253d-transforms. 3D Transforms is a library to easily work with 3D data and make 3D transformations. This library originally started as a few functions here and there for my own work which I then turned into a library.
25People-Counter-On-Edge. Low latency resilient people detection and counting for edge devices
24NeRF-US. Official code for NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild
2410-Days-of-ML. Repository for 10 Days of ML
23Squeeze3D. Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor
23GLU. An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.
20Compositional-Attention. An implementation of Compositional Attention: Disentangling Search and Retrieval by MILA
14Smart-Queuing-System-On-Edge. Official repository for the paper "Deploying a smart queuing system on edge with Intel OpenVINO toolkit" [Springer-2021]
14TFServing-Demos. TF Serving demos
11isab. An implementation of "Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks"
10CV-with-TF-Demos. My talk about Computer Vision with TensorFlow
9MLKit-Firebase-Android. A face recognition, bar code scanning, image labeling, landmark recognition and text recognition either on cloud or edge with the Firebase SDKs
8Visualize.AI. An API to better understand and visualize the inner workings of a CNN with GradCam; currently MobileNet
8slidesmart. Python
8SurpriseHacks. Identify plant diseases from images on the web with ML
8simplicits-nerfstudio. Simulate a mesh, Gaussian Splat, or a NeRF
8TFUG-Mysuru-2020. My session about TensorFlow Quantum to build hybrid quantum-classical models at TensorFlow User Group Mysuru 2020
7Artificial-Intelligence_resources-and-notebooks. This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.
7AI-for-Medicine. All my solutions for AI for Medicine specialization by deeplearning.ai on Coursera
7FairLearn-Demos. Demos about Teaching your Models to play fair with FairLearn
6RockPaperScissor_in_python. a simple rock paper scissors game
6Code-to-Learn-2020. Kotlin
6wasm-faas-tensorflow. JavaScript
6Google-FooBar. My solutions for Google FooBar
6Invariant-Attention. An implementation of Invariant Point Attention from Alphafold 2
6TF-Data-and-Deployment. Things I tried for the Data and Deployment videos
6Breast-cancer-prediction-ML-Python. Make predictions for breast cancer, malignant or benign using the Breast Cancer data set
5popup_box. A Flutter package to create popup boxes.
5cs-theory-notes. My notes from UofT CS Theory Research Group seminars
5RandomJokesApp. Kotlin
5Rishit-dagli.github.io. A backup of my articles
5ConvMixer-torch2tf. This repository hosts code for converting the original ConvMixer models (PyTorch) to TensorFlow.
4SOTA-Coding-Problem. A SOTA Coding Problem, explained and solved in Python
4Start-with-AI-Training. Repo for Vijaya and my talk on AI Step 0: Get started with AI
4ML-For-Beginners. 12 weeks, 24 lessons, classic Machine Learning for all
4Effective-GitHub-Training. The training and experimentation repo for the session: "Effective GitHub"
4Solving-overfitting-in-Neural-Nets-with-Regularization. Learn how to use regularization to solve overfitting and the intuitions behind it
4NSE-Stock-Prediction. Jupyter Notebook
3using-control-p5-in-processing-with-arduino. C++
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