The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

复现大模型相关算法及一些学习记录

BERT-related papers

A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites

视觉(语义) SLAM 相关研究跟踪

RelatedChat

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Code examples that accompany the MDN Web Docs pages relating to Web Audio.

A curated list of tools and information relating to Standard Notes.

A curated list of awesome projects and resources relating to the Internet Computer Protocol

Note: This repository will be archived and will no longer accept new submissions.

A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites

Security Bulletins that relate to Netflix Open Source

Unofficial guides relating to ReVanced

Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

A collection of materials relating to technical writing

Contains samples and utilities relating to the Azure Cosmos DB .NET SDK

Code Blocks relating to everything VBA

The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those things can relate to one another. In this way, FIBO can give meaning to any data (e.g., spreadsheets, relational databases, XML documents) that describe the business of finance.

Data Processing benchmark featuring Rust, Go, Swift, Zig, Julia etc.

Non-device-specific code, projects, and wiki pages relating specifically to the OpenDingux operating system

Relate Anything Model is capable of taking an image as input and utilizing SAM to identify the corresponding mask within the image.

E-books related to hacking helps you to know more about hacking

Define the Bevy UI tree with `eml!`, style it using a very-css-like `ess` syntax and relate data data with `bind!` and `connect!`

RELATE is an Environment for Learning And TEaching

破解的cs4.0、cs4.0官方手册翻译和一些笔记

A compilation of links relating to electronics me and my friends have bought from China. It is online as a resource for others just starting out in electronics, and are looking for projects to do.

[CoRL 2025] Repository relating to "TrackVLA: Embodied Visual Tracking in the Wild"

[ARCHIVED] experimenting web app with React + GraphQL + Next.js

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).