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Guide to using pre-trained large language models of source code

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Roadmap to become a Visual-SLAM developer in 2026

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Text Classification Algorithms: A Survey

PyTorch implementation of Pointnet2/Pointnet++

Interpretability and explainability of data and machine learning models

Deep Learning tutorials in jupyter notebooks.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Discovering Interpretable GAN Controls [NeurIPS 2020]

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Awesome-pytorch-list 翻译工作进行中......

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

DL course co-developed by YSDA, HSE and Skoltech

Python AutoML for Trading Systems and Sports Betting

Interactive convnet features visualization for Keras

Faster RCNN with PyTorch

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Try out deep learning models online on Google Colab

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Top 200 deep learning Github repositories sorted by the number of stars.

novel deep learning research works with PaddlePaddle

Open source tools for computational pathology - Nature BME

A Modular Framework for 3D Gaussian Splatting and Beyond

Speedy Wavenet generation using dynamic programming :zap:

Vocal Remover using Deep Neural Networks

FSL-Mate: A collection of resources for few-shot learning (FSL).

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Synthetic data curation for post-training and structured data extraction

🦄 State-of-the-Art Conversational AI with Transfer Learning

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

maximal update parametrization (µP)

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

BirdNET analyzer for scientific audio data processing.

Toolbox of models, callbacks, and datasets for AI/ML researchers.

PyTorch Extension Library of Optimized Scatter Operations

The Art of Debugging Open Book

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Convolutional Neural Network for 3D meshes in PyTorch

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。