Dnyanesh Walwadkar's repositories
Advance-Deep-Learning
Advanced Deep Learning repository! This repository is dedicated to exploring cutting-edge research, advanced techniques, and innovative applications in the field of deep learning. Our mission is to provide a comprehensive and accessible resource for students, researchers, and enthusiasts who are passionate about pushing the boundaries.
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
PYTHON-SWC_Session
Welcome to the repository where learning Python transcends the boundaries of traditional education. Here, you'll find a comprehensive collection of notes, examples, and real-world analogies that I've meticulously crafted and used in my Python programming sessions. These resources have illuminated the path of programming for over 3000 students ofSWC
DepthMapExplorer-3DPointCloudLab
Explore the World in 3D: 3DPointCloudLab is your gateway to the fascinating universe of 3D depth maps and point clouds. Whether you're a researcher, developer, or 3D enthusiast, our repository offers a treasure trove of tools, techniques, and insights dedicated to the exploration and manipulation of 3D spatial data.
Online-Machine-Learning-A_Z-guide
Online Machine Learning is a method of machine learning in which data becomes available in a sequential order as a stream of data and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once. In contrast to the more traditional batch learning, online learning methods update themselves incrementally with one data point at a time. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is generated as a function of time, e.g., stock price prediction
bike-rental-timeseries-forcasting-on-AWS-DeepAR
The Amazon SageMaker DeepAR forecasting algorithm is a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN).When your dataset contains hundreds of related time series, DeepAR outperforms the standard ARIMA and ETS methods. You can also use the trained model to generate forecasts for new time series that are similar to the ones it has been trained on.
Data-Science-Famework
This repository is a comprehensive collection of notebooks that covers various data science projects in detail. Each project is designed to provide a clear understanding of the data science pipeline, from data acquisition to model deployment.
Deep-Learning-Model-for-Song-Prediction-form-huming-Whistling
Building Audio Deep Learning Model for forecasting melody name. Sound Classification is one of the foremost broadly utilized applications in Audio Deep Learning. It includes learning to classify sounds and to anticipate the category of that sound. I am going begin with sound files, convert them into spectrograms, input them into a CNN plus Linear Classifier model, and create forecasts almost the lesson to which the melody has a place.
AI-ML-Operations
Automating the end-to-end lifecycle of Machine Learning applications Machine Learning applications are becoming popular in our industry, however the process for developing, deploying, and continuously improving them is more complex compared to more traditional software, such as a web service or a mobile application. They are subject to change in three axis: the code itself, the model, and the data. Their behaviour is often complex and hard to predict, and they are harder to test, harder to explain, and harder to improve
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
aiops_project
AIOps is short for artificial intelligence for IT operations. It refers to multi-layered technology platforms that automate and enhance IT operations through analytics and machine learning (ML). AIOps platforms leverage big data, collecting a variety of data from various IT operations tools and devices in order to automatically spot and react to issues in real-time while still providing traditional historical analytics.
CloudProjectGCP
Automatic number plate recognition (ANPR) is quickly becoming an increasingly popular solution offering organisations effective visitor and car park access management. Several trends and challenges are driving the popularity of this solution, such as increasing vehicle thefts, security concerns as well as the growing interest in smart parking solutions and automated vehicle identification. We are using GCP Cloud, Tensoflow based solution for ANPR
Detector-Free-Local-Feature-Matching-Transformer-Project
For most of us, our best camera is part of the phone in our pocket. We may take a snap of a landmark, like the Trevi Fountain in Rome, and share it with friends. By itself, that photo is two-dimensional and only includes the perspective of our shooting location. Of course, a lot of people have taken photos of that fountain. Together, we may be able to create a more complete, three-dimensional view. What if machine learning could help better capture the richness of the world using the vast amounts of unstructured image collections freely available on the internet? The process to reconstruct 3D objects and buildings from images is called Structure-from-Motion (SfM). Typically, these images are captured by skilled operators under controlled conditions, ensuring homogeneous, high-quality data. It is much more difficult to build 3D models from assorted images, given a wide variety of viewpoints, lighting and weather conditions, occlusions from people and vehicles, and even user-applied filters.
explanable-AI
Auto-Encoding Explanations Library (AEE-Lib)
Home-Page
Config files for my GitHub profile.
Language-Transaltion-Application
Languuage Transator application using IBM Cloud Language Translate Services. User Interface using Stremit. Application can translate more than 30 Languages.
LLaVA
Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
Mathematical-Reasoning-in-Open-Language-Models
This repository is dedicated to exploring the fascinating intersection of open language models and mathematical reasoning. This repository serves as a hub for sharing findings, tools, and methodologies that leverage the power of LLMs to decipher, interpret, and solve mathematical challenges presented in natural language.
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
SegLoss
A collection of loss functions for medical image segmentation
Trending-in-3D-Vision
An on-going paper list on new trends in 3D vision with deep learning
WSDMCup2023
Toloka Visual Question Answering Challenge at WSDM Cup 2023