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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Instruct-tune LLaMA on consumer hardware
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Natural Language Processing Tutorial for Deep Learning Researchers
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 genera…
An adversarial example library for constructing attacks, building defenses, and benchmarking both
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
Notes about courses Dive into Deep Learning by Mu Li
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Efficient few-shot learning with Sentence Transformers
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Code for Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach
Examples shown in Bilibili Live 346623
A hyperspherical face recognition library based on PyTorch
[NIPS2023] Code and Model for VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
A PyTorch library for two-sample tests
Easy-to-Use deep learning development toolkit.
Multi-model video-to-text by combining embeddings from Flan-T5 + CLIP + Whisper + SceneGraph. The 'backbone LLM' is pre-trained from scratch on YouTube (YT-1B dataset).
