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A natural language interface for computers
Official Code for DragGAN (SIGGRAPH 2023)
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Open source platform for the machine learning lifecycle
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
Source code for Twitter's Recommendation Algorithm
Anomaly detection related books, papers, videos, and toolboxes
A python library for user-friendly forecasting and anomaly detection on time series.
The unofficial python package that returns response of Google Bard through cookie value.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Use commands in English to control Blender with OpenAI's GPT-4
Lightning ⚡️ fast forecasting with statistical and econometric models.
Interactive HTML BOM generation plugin for KiCad, EasyEDA, Eagle, Fusion360 and Allegro PCB designer
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Seamlessly integrate LLMs into scikit-learn.
Scalable and user friendly neural 🧠 forecasting algorithms.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
An English-language shell for any OS, powered by LLMs
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
nannyml: post-deployment data science in python
A flexible, intuitive and fast forecasting library