This repository contains demos I made with the Transformers library by HuggingFace.

PyTorch code and models for the DINOv2 self-supervised learning method.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

The "Python Machine Learning (2nd edition)" book code repository and info resource

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

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…

NYU Deep Learning Spring 2020

Overview and tutorial of the LangChain Library

Python code for "Probabilistic Machine learning" book by Kevin Murphy

COCO API - Dataset @ http:https://cocodataset.org/

Taming Transformers for High-Resolution Image Synthesis

Reference models and tools for Cloud TPUs.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Book about interpretable machine learning

links to conference publications in graph-based deep learning

A collection of infrastructure and tools for research in neural network interpretability.

The "Python Machine Learning (3rd edition)" book code repository

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

[ICCV 2019] Monocular depth estimation from a single image

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Fast and flexible AutoML with learning guarantees.

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.