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PyTorch implementation of soft actor critic

SOTA Semantic Segmentation Models in PyTorch

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Bayesian active learning library for research and industrial usecases.

Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2

Please do not feed the models

A curated list of papers, code and resources pertaining to zero shot learning

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

PyTorch Extension Library of Optimized Graph Cluster Algorithms

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Quiz & Assignment of Coursera

Learn about Machine Learning and Artificial Intelligence

[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

Full Stack Deep Learning Online Course

Papers about graph transformers.

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

A Library for Uncertainty Quantification.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

Data compression in TensorFlow

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training pipeline available for self-reproduction. | 超轻量SOTA LaTeX公式识别模型，仅20M参数量，可在浏览器中运行。训练全流程代码开源，以便自学复现。

深度学习工程师生存指南

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Standardized data set for machine learning of protein structure

LAMA - automatic model creation framework

[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

Four landmark detection algorithms, implemented in PyTorch.

Restoration for TEMPEST images using deep-learning

Network Slimming (Pytorch) (ICCV 2017)

This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.

inferring sql queries from plain-text questions about tables

The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

:four_leaf_clover: Another Chinese chatbot implemented in PyTorch, which is the sub-module of intelligent work order processing robot. 👩‍🔧

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Detect the programming language of a source code

MONAI Label is an intelligent open source image labeling and learning tool.

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

MIDI / symbolic music tokenizers for Deep Learning models 🎶