Minimal examples of data structures and algorithms in Python
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Minimal examples of data structures and algorithms in Python
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Rembg is a tool to remove images background
Image-to-Image Translation in PyTorch
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Python Development Workflow for Humans.
SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.
"RAG-Anything: All-in-One RAG Framework"
Data Apps & Dashboards for Python. No JavaScript Required.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Python logging made (stupidly) simple
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Graph Neural Network Library for PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
Python Backtesting library for trading strategies
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Saleor Core: the high performance, composable, headless commerce API.