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Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

A Change Detection Repo Standing on the Shoulders of Giants

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。

Vision-and-Language Navigation in Continuous Environments using Habitat

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

A curated list of awesome things related to artificial intelligence tools

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

PyTorch implementation of Deformable Convolution

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

Standalone TFRecord reader/writer with PyTorch data loaders

Pytorch implementation of FlowNet by Dosovitskiy et al.

Webui for using XTTS and for finetuning it

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

Fast and accurate object detection with end-to-end GPU optimization

Official code for MAMMA: Markerless Accurate Multi-person Motion Acquisition.

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

A pytorch library for graph and hypergraph computation.

tfts: Time Series Deep Learning Models in TensorFlow

Collection of audio-focused loss functions in PyTorch

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Awesome work on object 6 DoF pose estimation

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

All-In-One Music Structure Analyzer

Portuguese pre-trained BERT models

Implementation of Dreamer v3 in pytorch.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Generating faces with deconvolution networks

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

PyTorch从入门到精通

The Implementation of FastSpeech based on pytorch.

Implementation of Everybody Dance Now by pytorch

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

:rocket: State-of-the-art parsers for natural language.

ETNA – Time-Series Library

Bagua Speeds up PyTorch

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

A CS degree with a focus on full-stack ML engineering, 2020

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

PFLD pytorch Implementation

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.