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3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

algorithm

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

audioset_classification

audioset_tagging_cnn

awesome-human-pose-estimation

Human Pose Estimation Related Publication

deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

deploying-deep-learning-models-using-tensorflow-serving-with-docker-and-flask

In this tutorial, we will deploy a Pre-trained TensorFlow model with the help of TensorFlow Serving with Docker, and we will also create a visual web interface using Flask web framework which will serve to get predictions from the served TensorFlow model and help end-users to consume through API calls.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

frtm-vos

Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

gourmet-guru

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

learn-retrieval-augmented-generation

Examples and demos on how to use Retrieval Augmented Generation with Large Language Models

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

megadepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

mnist_flask_docker

models

Models and examples built with TensorFlow

muzic

Muzic: Music Understanding and Generation with Artificial Intelligence

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

objectposeestimationsummary

Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

swahr-humanpose

Bottom-up Human Pose Estimation

systemdesign

timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

toilet_sensor

tsai

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