A PyTorch-based Speech Toolkit
- speech-recognition
- speech-toolkit
- speaker-recognition
- speech-to-text
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TranslatedPython open-source project "The Road to Self-Taught Programming", with step-by-step tutorials for beginners: AI Lab, treasure videos, data structures, study guides, hands-on machine learning, hands-on deep learning, web crawlers, big-company interview experiences, programmer life, resource sharing.
- python3
- pytorch
- deeplearning
- deep-learning
TranslatedChatGPT Chinese guide🔥, ChatGPT Chinese tuning guide, prompt guide, application development guide, curated resource list, to use ChatGPT better and make your productivity go up up up! 🚀
Low-code framework for building custom LLMs, neural networks, and other AI models
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
- pytorch
- unet
- pytorch-unet
- semantic-segmentation
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
- machine-learning-algorithms
- code
- statistical-learning-method
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
A paper list of object detection using deep learning.
- deep-learning
- deep-neural-networks
- deeplearning
- objectdetection
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
- artificial-intelligence
- deep-learning
- text-to-image
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
Style transfer, deep learning, feature transform
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
- figures
- python
- icml
- nature-machine-intelligence
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
Building the self-learning layer next-gen agents will ship with, learning skills from real work.
- agent-skills
- claude-code
- claude-code-plugin
- llm-agents
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
- style-transfer
- neural-style
- neural-networks
- deep-learning
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Fast and Accurate ML in 3 Lines of Code
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
- cloud-computing
- deep-learning
- gpu
- hyperparameter-tuning