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Deep-Belief-Networks-in-PyTorch
The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.Federated-Recommendation-Neural-Collaborative-Filtering
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.DP-HyperparamTuning
DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.FedPAQ-MNIST-implemenation
An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))API-LLM-Hub
A static-page vanilla-js interface for various LLM APIs (OpenAI, Claude, Gemini, Together).Federated-Learning
Privacy preserving learning for Federated Learning.refactored-SOPs
List of Statement of Purpose for PhD Applications for ML/AI.GeneticPromptLab
GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.Grey-Wolf-Optimizer
Grey wolf optimizer (GWO) is a population-based meta-heuristics algorithm that simulates the leadership hierarchy and hunting mechanism of grey wolves in nature, and itβs proposed by Seyedali Mirjalili et al. in 2014.Greedy-Layer-Wise-Pretraining
Training DNNs are normally memory and computationally expensive. Therefore, we explore greedy layer-wise pretraining.FedEEG
A Federated Approach towards hand movement learning using EEG-wavessuperpixel-clustering
Creating Visuals for SuperPixel-Clustering.GeneratorPromptKit
GeneratorPromptKit: A Python Library and Framework for Automated Generator Prompting and Dataset GenerationTransformer-Text-AutoEncoder
Transformer Text AutoEncoder: An autoencoder is a type of artificial neural network used to learn efficient encodings of unlabeled data, the same is employed for textual data employing pre-trained models from the hugging-face library.ProTaska-GPT
Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.HexaLite
An unsupervised method for text searching based on contextual similarity within a corpus.PigeonAssistez
A productivity tool tailored for your busy schedules!Denoising-AutoEncoder
The Denoising Autoencoder is an extension of the autoencoder. Just as a standard autoencoder, itβs composed of an encoder, that compresses the data into the latent code, extracting the most relevant features, and a decoder, which decompress it and reconstructs the original input. There is only a slight modification: the Denoising Autoencoder takes a noisy image as input and the target for the output layer is the original input without noise.StreamlinedFaceDetection
The project is meant to be used for simple streamlined implementations during competitions and hackathons. It is meant for Face Detection and will use the OpenCV-DNN framework which is one of the few fast, memory-efficient and easy to implement Face Detection models.Revideo-Colab-Standalones
Standalone Colab notebooks for creating videos with RevideoOperational-Neural-Networks
Operational Neural Networks (ONNs), which can be heterogeneous and encapsulate neurons with any set of operators to boost diversity and to learn highly complex and multi-modal functions or spaces with minimal network complexity and training data.MedTranslate-360
MedTranslate 360 redefines medical documentation by providing an AI-powered assistant designed specifically for healthcare professionals.FRACTURED-SORRY-Bench
FRACTURED-SORRY-Bench: This repository contains the code and data for the FRACTURED-SORRY-Bench framework, as described in our paper.Visual-Clusters
A repository for visualizing clusters created by Siamese Neural Networks.ISPP-Project-Demo
Course Project Demo for ISPPEV-BaseGame
Evolutionary algorithms to play basic gamesSafeInNet
SafeInNetDWDM-Project
Machine learning methods for data miningDeCrise
DeCrise: Social Media platforms hold the potential to avert and support public utility services for crisis management. We use continual and federated learning to amplify our NLP model.Voix
discord-keras
Creating a Discord Bot which can allow use of Keras remotely. A python enabler will also be created.AT-Lab
Sem 6: Android Lab - MIT Manipal B.Tech Information Technology (2019-23)Bavardez
Building a chatbot from scratch.FormulaGenerator-with-geppy
Geppy explores formula generation for a given dataset. Although not optimal in training paradigm it offers a faster execution time.Unsupervised-GNN-Clustering
Clustering using unsupervised training of GNNPredatorPreyRL
Multi-Agent Communication in RL systemsDCD-HAMS
Decentralized Cross Device Learning for Hierarchical Aggregation of Medical SymptomsEnergyBasedModels
An energy-based model is a probabilistic model governed by an energy function that describes the probability of a certain state.Manipal-Popina
A full-stack application for the MIT-DBS-LAB-PROJECT-2021(OCT). Developed an entire application from the front end to the back end and the code connecting it to an SQL database system.GitOpenFL
My implementation of Federated Learning for PyTorch, including various examples from different papers I read. The aim is to improve my understanding of Federated Learning, at the same time, provide an open and simple to learn implementation of the same for future reference. Everything in this repository will be implemented in PyTorch, which is something out of my comfort zone, so hopefully it goes well.SCFactual-Explanations-CV
Creating a pipeline for generating semi-factual and counter-factual explanations for computer vision tasks.Key-Frame-Extraction
Key frame extraction is a powerful tool that implements video content by selecting a set of summary key frames to represent video sequences. Most of the existing key frames extraction methods are not suitable for video copyright protection, as they do not meet specific requirements.Recherche-Auto
Recherche-Auto revolutionizes web-based research by organizing and encoding data into personalized knowledge graphs.Love Open Source and this site? Check out how you can help us