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A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

code for deep learning courses

Maia is a human-like neural network chess engine trained on millions of human games.

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

A toolbox for skeleton-based action recognition.

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

船长关于机器学习、计算机视觉和工程技术的总结和分享

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Early stopping for PyTorch

A neural network toolkit for Metal

An out-of-box human parsing representation extractor.

common in-memory tensor structure

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

Fast and differentiable MS-SSIM and SSIM for pytorch.

The official implementation of Self-Play Fine-Tuning (SPIN)

Paint by Example: Exemplar-based Image Editing with Diffusion Models

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

SincNet is a neural architecture for efficiently processing raw audio samples.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

Boosting your Web Services of Deep Learning Applications.

A Framework for Encrypted Machine Learning in TensorFlow

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Real time emotion recognition

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

PDEBench: An Extensive Benchmark for Scientific Machine Learning

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

Lab materials for the Full Stack Deep Learning Course

Unofficial PyTorch implementation of Google AI's VoiceFilter system

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

A JavaScript library like PyTorch, with GPU acceleration.

Neural Network Compression Framework for enhanced OpenVINO™ inference

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.