Repository Index

🐧 Abuse of Google Colab for cracking hashes.

Introduction to Statistics using Python

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

• agriculture
• ai
• geospatial
• geospatial-analytics

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

• aifinance
• fintech
• llama
• machine-learning

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

• computer-vision
• visible-infrared
• low-light-image
• image-fusion

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Use evolutionary algorithms instead of gridsearch in scikit-learn

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

• graph
• high-performance
• machine-learning
• knowledge-graph

This repo contains materials for use in a TensorFlow workshop.

The codes I made while I practiced various TensorFlow examples

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

• ai
• graphs
• synerise
• embeddings

The repository host gives no description.

The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.

• cwt
• matlab
• cpp
• optimization

Implementation of various topic models

Fusing Histology and Genomics via Deep Learning - IEEE TMI

• pathomic
• fusion
• multimodal
• pathology

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

• tensorflow
• python3
• keras
• resnet-101

Breaking captchas using torch

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

• tensorflow-2
• tensorflow-lite
• on-device-ml
• model-quantization

⬛ Python Individual Conditional Expectation Plot Toolbox

• machine-learning
• interpretability

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

• probabilistic-programming
• neural-network
• tensorflow
• keras-tensorflow

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.