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Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Go binding for Pytorch C++ API (libtorch)

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

deeplearning.ai , By Andrew Ng, All video link

A 3DMM fitting framework using Pytorch.

Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Implementing Attention Augmented Convolutional Networks using Pytorch

Automatically split your PyTorch models on multiple GPUs for training & inference

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

AnyLoc: Universal Visual Place Recognition (RA-L 2023)

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱

MelGAN vocoder (compatible with NVIDIA/tacotron2)

mmdetection源码注释

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Count the MACs / FLOPs of PyTorch models

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

NAS-Bench-201 API and Instruction

This is a list of awesome paper about optical flow and related work.

Temporary home for fastai v2 while it's being developed

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

Unofficial PyTorch Implementation for FaceShifter (https://arxiv.org/abs/1912.13457)

基于深度学习的漫画翻译辅助工具，包含翻译、朗读、图像去字、自动嵌字功能。 目的是帮助非专业汉化人员完成更简单，快速的翻译任务。

RoMa: A lightweight library to deal with 3D rotations in PyTorch.

Light-weight Single Person Pose Estimator

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.

Brainchop: In-browser 3D MRI rendering and segmentation

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Active Learning for Text Classification in Python

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

DCT (discrete cosine transform) functions for pytorch

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Generic template to bootstrap your PyTorch project.

A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

Code for FCHD - A fast and accurate head detector

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

https://www.kaggle.com/c/humpback-whale-identification

This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.

Pretrained ELECTRA Model for Korean

High performance model preprocessing library on PyTorch

A multi-model machine learning feature embedding database

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载