Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
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This repository helps you learn Python and Machine Learning from scratch.
- python
- jupyter-notebook
- pandas-dataframe
- numpy
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
cluster data collected from production clusters in Alibaba for cluster management research
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
- evaluation
- evaluation-metrics
- guidebook
- large-language-models
零知识证明入门教程。Comprehensive Zero-Knowledge Proofs Tutorial. #zk #WIP
- abstract-algebra
- bitcoin
- blockchain
- cryptography
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
- pytorch
- stochastic-differential-equations
- inverse-problems
- generative-models
The Numenta Anomaly Benchmark
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
- nlp
- visualization
- explorables
- natural-language-processing
[DEIMv2] Real Time Object Detection Meets DINOv3
- detection-transformer
- dinov3
- object-detection
- real-time
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
- stock-market
- stock-analysis
- trading-strategies
- technical-analysis
A colab gradio web UI for running Large Language Models
- colab
- colab-notebook
- colaboratory
- gradio
Let us democratise high-resolution generation! (CVPR 2024)
- aigc
- high-resolution
- low-resource
- stable-diffusion
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
- deep-learning
- evaluation
- foundation-models
- instruction-following
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
- deep-learning
- vision-transformer
- bert-model
- bert
OneDiff: An out-of-the-box acceleration library for diffusion models.
- comfyui
- diffusers
- pytorch
- sdxl
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
AI magics meet Infinite draw board.
- pytorch
- stable-diffusion
- pypi
- python
100 days of LLM inference engineering — daily posts, experiments, and visualizations
Notebooks about Bayesian methods for machine learning
- machine-learning
- bayesian-methods
- bayesian-machine-learning
- gaussian-processes
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
- score-matching
- stochastic-differential-equations
- generative-models
- score-based-generative-modeling