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Get-Things-Done-with-Prompt-Engineering-and-LangChain

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 using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

the-gan-zoo

A list of all named GANs!

NLP-Projects-NHV

NLP Projects playlist

public-demo-data

A repository of publicly available datasets for testing & demonstration purposes.

course-material

Course Material for in28minutes courses on Java, Spring Boot, DevOps, AWS, Google Cloud, and Azure.

open-data

Free football data from StatsBomb

stgat_traffic_prediction

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 Forecasting" https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8903252

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

PINN-pBTE-deltaT

awesome-blockchain-ai

A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

DeepLearningDemos

Deep Learning Experiment Code.

RecommenderSystem-DataSet

This repository contains some datasets that I have collected in Recommender Systems.

sciann-applications

A place to share problems solved with SciANN

GraphRec_PyTorch

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

PDEsByNNs

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

thatbrguy.github.io

Portfolio

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

LSTM_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

DA-RNN

Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971.pdf

MetaRec

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

schrodinger

Comparison of numerical solutions of the 1-D time-independent Schrödinger equation obtained through FDM, FEM and the neural network approach.

Image-Resolution-Enhancement-using-GANs

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.

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Natural-Language-Inference

In this project, several Bi-LSTM and Bi-GRU models were created and trained for the task of Natural Language Inference.