The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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🔊 Text-Prompted Generative Audio Model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The fastai deep learning library
A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
stable diffusion webui colab
- stable-diffusion
- stable-diffusion-web-ui
- stable-diffusion-webui
- colab
This repository contains the source code for the paper First Order Motion Model for Image Animation
- deep-learning
- image-animation
- generative-model
- motion-retargeting
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A multi-voice TTS system trained with an emphasis on quality
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
The repository host gives no description.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。
- dain
- huoshan-tts
- microsoft-tts
- rife-gui
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
- inpainting
- inpainting-methods
- inpainting-algorithm
- computer-vision
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A library for debugging/inspecting machine learning classifiers and explaining their predictions
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.