789 Open source projects that are alternatives of or similar to my-bookshelf

Literature for the self-taught AI practitioner! 📚

List of some useful blogs, books, courses, papers etc. 📚

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

Summary of machine learning papers

awesome grounding: A curated list of research papers in visual grounding

An online reopository to share books. Created in the loving memory of the internet's own boy Aaron swartz, on his birthday.

😎 face releated algorithm, dataset and paper

The best resources around Machine Learning

深度学习经典、新论文逐段精读

📚 Estilo para BibLaTeX compatível com as normas da ABNT

My personal bibliography of STEM resources and grey literature.

knowledge distillation papers

A text generation reading list maintained by Tsinghua Natural Language Processing Group.

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

🍬Some papers & books I’ve read.

Snipit allows you to capture and save interesting sections from any source of information. Be it textbooks, journals, computer screens, photographs, flyers, writings on a whiteboard, etc.

List of awesome papers on Polarization Imaging

A curated list of awesome resources and learning materials in the field of X internals

A list of learning materials to understand databases internals

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Books and other resources for learning Ruby and computer science.

The Ruby Bibliography

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

📖Notes on books and other things I'm reading 📖

Summarizing the papers I have read (Japanese)

Reading list to help people getting started in the industry & prospective employees

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Books for people who are or aspire to manage/lead team(s) of software engineers

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

My reading list

A reading list for deep graph learning acceleration.

Parse JSON columns with Bookshelf.js

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

PaperView 是一个自定义的View，它就像一张纸折叠和展开

This is a repository for summarizing papers especially related to machine learning.

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

The best bibliography generator. No pop-up ads, no gimmicks, no registration required, always secure (SSL, TLS 1.3, HSTS, and CSP), always fast (HTTP/3.0 and Brotli Compression) and 100% Open Source (AGPLv3).

JSON API-Compliant Serialization for your Node ORM

A reference implementation of ”Rendering transparent objects with caustics using real-time ray tracing“ using Unreal Engine 4.25.1.

Jane Austen’s Collected Works

List of Data Science and Machine Learning Resource that I frequently use

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

📚 记录一些自己读过的论文与笔记

Top 20 Kali Linux Related E-books (Free Download)

A collection of the work of Edward Estlin Cummings, as it enters the public domain.

No description or website provided.

wherein I implement several substructural logics in Agda

Code for "The Box Size Confidence Bias Harms Your Object Detector" (https://arxiv.org/abs/2112.01901)

一路走来收藏的电子书

书单

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.

A collection of online books for data science, computer science and coding!

Reading list for research topics in multimodal machine learning

A wiki of tutorials

Code for 2016 TPAMI(IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE) A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Plugin for Bookshelf.js supporting advanced serialization behavior

Programming books 3: Python、 Machine-Learning、 Deep-Learning、 NLP