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Learn how to design, develop, deploy and iterate on production-grade ML applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
pytorch implementation of openpose including Hand and Body Pose Estimation.
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
"Deep Generative Modeling": Introductory Examples
Seminars DeepBayes Summer School 2018
LSTM trained on the first five ASOIAF/GOT books
A pedagogical implementation of Autograd
IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Epipolar Transformers (best paper award, CVPR 2020 workshop)
Simple Implementation of many GAN models with PyTorch.
Traffic Graph Convolutional Recurrent Neural Network
Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
自己的学习历程，重点包括各种好玩的图像处理算法、运动捕捉、机器学习
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, we will apply the YOLO algorithm to detect objects in images.
Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)