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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
A High-Quality Real Time Upscaler for Anime Video
Instruct-tune LLaMA on consumer hardware
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
PyTorch code and models for the DINOv2 self-supervised learning method.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
A unified framework for 3D content generation.
A scikit-learn compatible neural network library that wraps PyTorch
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Useful functions, tutorials, and other Python-related things
A small package to create visualizations of PyTorch execution graphs
Python-based tools for document analysis and OCR
Bayesian optimization in PyTorch
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Massively parallel rigidbody physics simulation on accelerator hardware.
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
A Haskell kernel for the Jupyter project.
IPython Parallel: Interactive Parallel Computing in Python
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)