Using Low-rank adaptation to quickly fine-tune diffusion models.
- diffusion
- lora
- stable-diffusion
- dreambooth
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Using Low-rank adaptation to quickly fine-tune diffusion models.
Collection of notebooks about quantitative finance, with interactive python code.
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.
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Flax is a neural network library for JAX that is designed for flexibility.
Repository to store sample python programs for python learning
The "Python Machine Learning (2nd edition)" book code repository and info resource
Recipes for using Python's pandas library
TranslatedQuantitative research - replication of brokerage financial engineering research reports
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.
Taming Transformers for High-Resolution Image Synthesis
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
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.
Code for Tensorflow Machine Learning Cookbook
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Simple tutorials using Google's TensorFlow Framework
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
From the basics to slightly more interesting applications of Tensorflow