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TranslatedA Deep-Learning-Based Chinese Speech Recognition System
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
StarCraft II Learning Environment
A collection of libraries to optimise AI model performances
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Uniform Manifold Approximation and Projection
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Stable Diffusion built-in to Blender
Pytorch implementation of convolutional neural network visualization techniques
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
A PyTorch implementation of EfficientNet
BertViz: Visualize Attention in Transformer Models
Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.
Python Cheat Sheet
Trail of Bits skills for security research, vulnerability detection, and audit workflows
A self-hosted open source photo management service.
It's React, but in Python
Automated Machine Learning with scikit-learn
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
TranslatedSay goodbye to boredom; dedicated to creating practical small Python examples. For more conscientious Python tutorials, see https://ai-jupyter.com