ekoziol's repositories
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
adversarial-machine-learning
Hands-on tutorial on adversarial examples 😈. With Streamlit app ❤️.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
berty
Berty is a secure peer-to-peer messaging app that works with or without internet access, cellular data or trust in the network
DFL-Colab
DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab
DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
DragGAN
Code for DragGAN (SIGGRAPH 2023)
faceswap
Deepfakes Software For All
factory-pattern-vectorstore-interface
A pattern to let you try several vector databases and change a little code as possible
gisting
Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467
gorilla
Gorilla: An API store for LLMs
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
gpt4all
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
ImageBind
ImageBind One Embedding Space to Bind Them All
llama
Inference code for LLaMA models
MetaGPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
nba-prediction-1
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
obsidian-setup-thor
The best resource you will ever find for getting started with Obsidian, probably
ollama
Get up and running with Llama 2 and other large language models locally
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
PixArt-alpha
Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
RedPajama-Data
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
rtl88x2bu
rtl88x2bu driver updated for current kernels.
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.
soccer-video-analytics
Demo on how to compute soccer ball possession automatically using AI.
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
tech-and-funding-toolkit
:money_with_wings: :chart_with_upwards_trend: :rocket: Tech and Funding Toolkit
wolfram-coronavirus
Wolfram Language code and notebooks related to the coronavirus outbreak
ZigZag
Python library for identifying the peaks and valleys of a time series.