Stars
This repository implements various Active Learning sampling techniques for multi-class classification tasks, specifically focusing on the Amazon Product Data. Active Learning is a machine learning …
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
A guidance language for controlling large language models.
QLoRA: Efficient Finetuning of Quantized LLMs
Easily compute clip embeddings and build a clip retrieval system with them
(ECCV2022) This is the official PyTorch implementation of ECCV2022 paper: Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
A latent text-to-image diffusion model
Official implementation of SpatialDETR. The paper will be presented at ECCV 2022
Just another YOLO V2 implementation. Train your own dataset in a jupyter notebook!
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
All Algorithms implemented in Python
LAMA - automatic model creation framework
Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral
StyleGAN 2 in Tensorflow 2.0
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Keras implementation of YOLOv1 (Tensorflow backend)