Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"
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🙄 Difficult algorithm, Simple code.
- tensorflow2
- tensorflow-examples
- deep-learning
- deep-neural-networks
NYU Deep Learning Spring 2021
- deep-learning
- yann-le-cunn
- nyu
- ebm
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
- style-transfer
- face
- stylegan2
- stylegan-image-manipulation
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
- regression
- confidence-intervals
- data-science
- python
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Source code for my collection of articles on using pandas.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
The repository host gives no description.
A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.
A library of Jupyter notebooks and corresponding YouTube lectures by Roman Paolucci
Tutorials for getting started with Pwntools
Toolbox repository for Tiger team
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
- deep-learning
- neural-network
- neural-differential-equations
- pytorch
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
- multi-object-tracking
- pytorch
- yolov7
- yolox
KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)
- alpaca
- koalpaca
- korean-nlp
- llama
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
- earth-engine
- google-earth-engine
- gis
- remote-sensing
A curated list of Best Artificial Intelligence Resources
- machine-learning
- regression
- neural-networks
- tensorflow
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
- marketing-mix-modeling
- marketing-mix-modelling
- mmm
- marketing-science
This repo is created to serve simulaion and analysis on the data collected in Jiuyang Bai's dissertation research.
Keras implementation of a CNN network for age and gender estimation
- deep-learning
- convolutional-neural-networks
- imdb
- gender-estimation
Text To Video Synthesis Colab
- colab
- colab-notebook
- colaboratory
- t2v
Google Colaboratory Notebooks and Repositories (by @firmai)
- google-colab
- google-colab-notebook
- jupyter-notebook
- machine-learning
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model