Image-Classification-PyTorch. Learning and Building Convolutional Neural Networks using PyTorch
213MLWithPytorch. Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
132Understanding-Search-Engine-Using-Cplusplus. Understanding Search Engine concepts and implementing the same using C++ and STL .
43Explore-Libraries. Understanding and implementing NLP and CV libraries with ML standpoint.
23Social-DIstancing-Using-Deep-Learning-and-OpenCV. Considering the unfortunate circumstances due to COVID-19 keeping distance from one person to another is crucial.
19Pytorch-Lightning-Face-Recognition. The Objective is to implement Siamese Network for Face Recognition using Pytorch Lightning.
18Computer-Vision. Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV
17Learning-PyTorch. This Repository contains notebook for learning the Deep Learning Framework - PyTorch.
15MLWithNumpy. A set of Notebooks to write simple and efficient ML algorithms using Numpy
13N2D-Pytorch. Pytorch Implementation of N2D(Not Too Deep) Clustering: Using deep clustering and manifold learning to perform unsupervised learning of image clustering.
8MLOps-Project. Learn to master MLOps tools with hands-on projects
6LearningPython. The objective of the repository is to learn python in efficient way by practing and understanding the most basics required to get started.
4Model-Deployment. Learn how to deploy model using Flask, Sanic, Fastapi and then Onnx
3CAM-Dropping-Neurons. When significant neurons of trained neural networks is dropped gradually, the trained model loses it ability to classify the label correctly.
3CycleGAN-Pytorch. Basic overview of CycleGAN and its Implementation using Pytorch
2Learn-Numpy. Everything you need to know about Numpy.
2mayurji.github.io. It includes access to my work, my blogs, annotated papers and implementation of deep learning & machine learning models.
2Zomato-Review-Analysis. Assuming as a working employee of a Restaurant registered in Zomato, Employee should receive the alert in form a Mail when a Negative Feedback is written !
2Tool-Experimentation. Objective of the repository to play around with different tools (keepsake, MLflow etc) with basic projects.
2Sentence-Classification-Using-Pytorch. Applying RNN's, FastText, CNN architecture and pre-trained BERT Transformer for Sentence Classification.
2cuda-programming. Implementation of CUDA programs from the book: "Programming Massively Parallel Processors"
2Exploring-UI-Frameworks. Learn how to use UI frameworks like Streamlit, Gradio, Dash, and more to build amazing AI applications.
2Flet-Templates-For-ML-Apps. Python
1SimCLR. Self-Supervised Learning approach to learn contrasting representation between images.
1pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
1BYOL. BYOL - Bootstrap Your Own Latent, an approach to learn the image representation using two networks learning from each other.
1Deep-Learning-Papers. This repository maintains Deep learning papers and its implementation.
1Data-Analytics-Using-Python. Understanding Basic and Intermediate level of Data Analysis using Python
1Books. Read Books
1Mayurji.
1website-templates. 150+ Website Templates
1Data-Structure-Algorithms. Repository maintains all the basics and important data structure and algorithms implementation.
1cpp_multithreading_mysql. We are exploring on how to use Multithreading concept to Add,Update and Delete the record in MySQL Database all happening together using C++.
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