A Modular Framework for 3D Gaussian Splatting and Beyond
- 3d-reconstruction
- 3dgs
- gaussian-splatting
- multi-view-reconstruction
Repository Index
86,576 visible repositories in the index
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fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- trading-strategies
- backtesting
- stocks
- financial-data-science
The repository host gives no description.
:robot::zap: 50 scikit-learn tips
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Whisper based Japanese subtitle generator
🙄 Difficult algorithm, Simple code.
- tensorflow2
- tensorflow-examples
- deep-learning
- deep-neural-networks
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
- style-transfer
- face
- stylegan2
- stylegan-image-manipulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
- pytorch-quantum
- quantum
- quantum-machine-learning
- neural-network
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
- python
- machine-learning
- feature-engineering
- feature-selection
Demo of running NNs across different frameworks
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
General Assembly's 2015 Data Science course in Washington, DC
Machine Learning University: Accelerated Computer Vision Class
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.
Toolbox repository for Tiger team
The repository host gives no description.
A deep-dive on the entire history of deep-learning
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
- deep-learning
- neural-network
- neural-differential-equations
- pytorch
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
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
Open-source implementation of Google Vizier for hyper parameters tuning
- ml
- dl
- hyperparameters
- optimization