troybvo Goto Github PK

ad-papers

Papers on Computational Advertising

adversarialnetspapers

The classical paper list with code about generative adversarial nets

bertsum

Code for paper Fine-tune BERT for Extractive Summarization

clone-wars

100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.

controlnetinpaint

Inpaint images with ControlNet

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

end-to-end-automl-insurance

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

financial-data

Intraday 1 minute pricing data for S&P 500, NIKKEI 225, DAX 30 and more 📈 💶

finrl

FinRL: Financial Reinforcement Learning. 🔥

groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

instruction-tuned-sd

Code for instruction-tuning Stable Diffusion.

kohya_ss

langchain

⚡ Building applications with LLMs through composability ⚡

large-language-models

Notebooks for Large Language Models (LLMs) Specialization

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information. The library also includes capabilities for optimizing media allocation as well as plotting common graphs in the field.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

objecttracking-deepsort-yolov3-tf2

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

probability

Probabilistic reasoning and statistical analysis in TensorFlow

sac-discrete.pytorch

A PyTorch implementation of SAC-Discrete.

sd-scripts

sd-webui-controlnet

WebUI extension for ControlNet

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

self-driving-car

Implementation of the paper "End to End Learning for Self-Driving Cars"

stable-diffusion-webui

Stable Diffusion web UI

streamlit

Streamlit application code