Repository Index

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

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

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

A unified framework for 3D content generation.

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

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

Taming Transformers for High-Resolution Image Synthesis

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

TensorFlow documentation

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

Code for Tensorflow Machine Learning Cookbook

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

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

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

• object-detection
• pytorch
• yolo

Implement a reasoning LLM in PyTorch from scratch, step by step

• ai
• artificial-intelligence
• deep-learning
• large-language-models

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

• neural-network
• machine-learning
• tensorflow
• keras

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

• pytorch
• seq2seq
• sequence-to-sequence
• tutorial

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

• asr
• speaker-diarization
• speech
• speech-recognition

From the basics to slightly more interesting applications of Tensorflow

Efficient Image Captioning code in Torch, runs on GPU

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

• deep-learning
• neural-network
• convolutional-networks
• pytorch

Create delightful software with Jupyter Notebooks

• jupyter-notebooks
• python
• literate-programming
• fastai

Neo4j graph construction from unstructured data using LLMs

• data-import
• genai
• graph
• graph-rag