:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
Repository Index
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Official implementation of AnimateDiff.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
- attention
- pytorch
- paper
- cbam
PersonaPlex code.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
- database
- python
- syntax-highlighting
- mysql
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
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.
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
A paper list of object detection using deep learning.
- deep-learning
- deep-neural-networks
- deeplearning
- objectdetection
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
StyleGAN2 - Official TensorFlow Implementation
Python bindings for FFmpeg - with complex filtering support
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic findings and evidence coverage, versioned JSON reports, and capability-gated account changes.
- claude-code
- claude-code-skill
- ai-marketing
- ai
Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)
- chia
- blockchain
- blockchain-network
- proof-of-space
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
- object-detection
- open-world
- open-world-detection
- vision-language
Hydra is a framework for elegantly configuring complex applications
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
- artificial-intelligence
- deep-learning
- generative-model
- score-matching
Simple job queues for Python
- redis
- python
- task-queue
- workers
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python