Stars
A latent text-to-image diffusion model
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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Instruct-tune LLaMA on consumer hardware
High-Resolution Image Synthesis with Latent Diffusion Models
LAVIS - A One-stop Library for Language-Vision Intelligence
Public facing notes page
A series of large language models trained from scratch by developers @01-ai
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
links to conference publications in graph-based deep learning
Language-Agnostic SEntence Representations
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
Kandinsky 2 — multilingual text2image latent diffusion model
Doing simple retrieval from LLM models at various context lengths to measure accuracy
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Simple image captioning model
Bridging LLM and Recommender System.
《机器学习》（西瓜书）代码实战
Boltzmann Machines in TensorFlow with examples
OpenAI CLIP text encoders for multiple languages!
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
DeepSurv is a deep learning approach to survival analysis.
Domain-Adversarial Neural Network in Tensorflow