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LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…
NLP Projects playlist
A repository of publicly available datasets for testing & demonstration purposes.
Course Material for in28minutes courses on Java, Spring Boot, DevOps, AWS, Google Cloud, and Azure.
This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph Attention Networks:A Deep Learning Approach for Traffic Foreca…
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
Deep Learning Experiment Code.
This repository contains some datasets that I have collected in Recommender Systems.
A place to share problems solved with SciANN
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
PyTorch implementations of Generative Adversarial Networks.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971.pdf
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Comparison of numerical solutions of the 1-D time-independent Schrödinger equation obtained through FDM, FEM and the neural network approach.
This project takes a low resolution images and tries to generate a high resolution images which looks as realistic as possible. This is achieved by using GANs.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A curated list of automated machine learning papers, articles, tutorials, slides and projects
In this project, several Bi-LSTM and Bi-GRU models were created and trained for the task of Natural Language Inference.