Repository Index

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.

• h2o
• machine-learning
• data-science
• deep-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

• machine-learning
• jupyter-notebook
• datascience
• example

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

Toturials coming with the "data science roadmap" picture.

The "Python Machine Learning (2nd edition)" book code repository and info resource

• machine-learning
• deep-learning
• python
• scikit-learn

Python code for "Probabilistic Machine learning" book by Kevin Murphy

• jupyter-notebooks
• machine-learning
• colab
• pml

A unified framework for 3D content generation.

CoreNet: A library for training deep neural networks

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

• machine-learning
• python
• data-analysis
• data-science

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Repo for the Complete Agentic AI Engineering Course

TranslatedCollecting, organizing, and releasing Chinese natural language processing corpora/datasets, and working together with like-minded people to promote the development of Chinese natural language processing.

A course in reinforcement learning in the wild

• reinforcement-learning
• course-materials
• deep-learning
• deep-reinforcement-learning

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

An adversarial example library for constructing attacks, building defenses, and benchmarking both

• machine-learning
• security
• benchmarking

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

TensorFlow documentation

• tensorflow
• tensorflow-tutorials
• tensorflow-examples
• documentation

Code for Tensorflow Machine Learning Cookbook

• tensorflow
• tensorflow-cookbook
• linear-regression
• neural-network

Silero Models: pre-trained text-to-speech models made embarrassingly simple

• speech-to-text
• pretrained-models
• pytorch
• colab

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

• finance
• portfolio-optimization
• portfolio-management
• quantitative-finance

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

• time-series-classification
• deep-learning
• fastai
• pytorch

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

• chinese
• computer-vision
• multi-modal-learning
• nlp

Simple tutorials using Google's TensorFlow Framework