Inpaint anything using Segment Anything and inpainting models.
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this repository accompanies the book "Grokking Deep Learning"
Sweep: AI coding assistant for JetBrains
- ai
- code-assistant
- developer-tools
- github-app
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Using Low-rank adaptation to quickly fine-tune diffusion models.
- diffusion
- lora
- stable-diffusion
- dreambooth
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
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.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
- super-resolution
- inpainting
- matting
- image-generation
Optimize prompts, code, and more with AI-powered Reflective Optimization
- agent-skills
- coding-agent
- discovery
- distributed-evolutionary-algorithms
Flax is a neural network library for JAX that is designed for flexibility.
Repository to store sample python programs for python learning
- python
- pandas
- pandas-dataframe
- pandas-tutorial
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy
- jupyter-notebooks
- machine-learning
- colab
- pml
CoreNet: A library for training deep neural networks
Material for gpu-mode lectures
TranslatedAI in Practice - practicalAI, Chinese version
- machine-learning
- jupyter-notebook
- pytorch
- google-colab-notebook
NYU Deep Learning Spring 2020
- jupyter-notebook
- pytorch
- deep-learning
- neural-nets
A course on aligning smol models.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
Official Code for Stable Cascade
An adversarial example library for constructing attacks, building defenses, and benchmarking both
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
- tensorflow
- tensorflow-examples
- tensorflow-tutorials
- tensorflow-2