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Toolkit for linearizing PDFs for LLM datasets/training
Datasets, Transforms and Models specific to Computer Vision
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
- video-annotation
- computer-vision
- computer-vision-annotation
- image-annotation
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A MNIST-like fashion product database. Benchmark :point_down:
pix2code: Generating Code from a Graphical User Interface Screenshot
- deep-learning
- datasets
- deep-neural-networks
- front-end-development
Open source annotation tool for machine learning practitioners.
- natural-language-processing
- machine-learning
- annotation-tool
- python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
- keras
- deep-learning
- text-generation
- tensorflow
The Open Images dataset
Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
- pytorch
- semantic-segmentation
- cityscape-dataset
- lednet
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- natural-language-processing
- natural-language-generation
- nlg-dataset
- deep-learning
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
- pytorch
- memory-networks
- generation
- end-to-end-learning
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
- robotics
- tracking
- computer-vision
- pose-estimation
💃 Free CC0 mannequin pose reference library for AI image tools (Nano Banana, ChatGPT, ComfyUI, Midjourney) — 250+ poses × 5 angles in line art, names in ja/zh/en/ko
- ai-art
- line-art
- mannequin
- pose-reference