Pinned Repositories
AI-and-Data-Science-Reference
Get a compiled and upto-date list of best blogs, websites , papers and repositories for a wide range of topics in Data science and Artificial Intelligence
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
Applications-of-Hypernetworks
Basic-Railway-Reservation-System
Used Concepts of data structures : Linked lists, stacks Queues, to build a basic Railway Reservation System in C Programming language.
Graph-Embedding-based-Recommendation
Image-classification-and-localization
Image classifier for the VOC-2010 Dataset with and without Transfer Learning. Deep Convolutional Networks were used for classification and localization.
Interpretable_models
General library for implementing ML models and performing numerous interpretation of model features, data attributes, input and output data.
nocode.ai
# nocode.ai A User-Friendly platform to develop Machine Learning Models
Sentiment-Analysis-for-product-reviews
Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.
Suffix-Trees
Suffix tree implementation using Ukkonen's suffix tree construction algorithm. Sample program written to find all occurrences of a query_string and rank documents according to relevence
vishwassathish's Repositories
vishwassathish/Basic-Railway-Reservation-System
Used Concepts of data structures : Linked lists, stacks Queues, to build a basic Railway Reservation System in C Programming language.
vishwassathish/Graph-Embedding-based-Recommendation
vishwassathish/Image-classification-and-localization
Image classifier for the VOC-2010 Dataset with and without Transfer Learning. Deep Convolutional Networks were used for classification and localization.
vishwassathish/nocode.ai
# nocode.ai A User-Friendly platform to develop Machine Learning Models
vishwassathish/AI-and-Data-Science-Reference
Get a compiled and upto-date list of best blogs, websites , papers and repositories for a wide range of topics in Data science and Artificial Intelligence
vishwassathish/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
vishwassathish/Applications-of-Hypernetworks
vishwassathish/Interpretable_models
General library for implementing ML models and performing numerous interpretation of model features, data attributes, input and output data.
vishwassathish/Applications-of-Optimal-Stopping-Algorithm-for-Social-Graph-Based-Recommendation
Recommendation Systems are becoming one of the most used tools in online marketing. In this paper, basic item based recommendation algorithms were extended to make use of a user’s social circle’s influence in deciding the recommendations. Depending on the social network of a user, the items to be recommended were selected. Apart from this, his own previous ratings of movies were considered to get an assessment of his taste and this was added up to this ego-network’s preferences to get a list of recommendations. An optimal stopping algorithm was then implemented on top of this recommendation system. This algorithm helped us pick users better from the ego-network. In the end, a general recursive optimal stopping algorithm is proposed, providing an efficient way to search for best set of users to recommend movies from throughout the social network.
vishwassathish/awesome-deep-learning-papers
The most cited deep learning papers
vishwassathish/BASH-Compiler
A basic compile time interface for BASH shell and command language
vishwassathish/bayesianLSTM
Bayesian LSTM (Tensorflow)
vishwassathish/Data-Structures-Algorithms-and-Solutions-to-common-coding-challenges
My implementations of Data Structures, Algorithms and Solutions to common coding challenges. I have mostly used C++ everywhere. Open to suggestions and criticism
vishwassathish/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
vishwassathish/Deep-Reasoning-Papers
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
vishwassathish/dileepagit.github.io
vishwassathish/GRU-D
Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
vishwassathish/GRU-D-keras
GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
vishwassathish/hands_on_ml_practice
Practicing basic ML, DL and RL algorithms
vishwassathish/imagenet-autoencoder
AutoEncoder trained on ImageNet
vishwassathish/jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
vishwassathish/k-diffusion
Karras et al. (2022) diffusion models for PyTorch
vishwassathish/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
vishwassathish/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
vishwassathish/MRL
Code repository for the paper - "Matryoshka Representation Learning"
vishwassathish/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
vishwassathish/UWrc.github.io
The best research computing website in all the land.
vishwassathish/vishwassathish.github.io
Personal Website
vishwassathish/website
Website code taken from https://github.com/jonbarron/website
vishwassathish/x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers