Yuhua Wei (Neronjust2017)

Neronjust2017

Geek Repo

Location:Shanghai, China

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Yuhua Wei's repositories

MapTR

[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

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Auto-GPT-LOCAL

An experimental open-source attempt to make GPT-4 fully autonomous.

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Dapp-Learning

Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.

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DARC

Decentralized Autonomous Regulated Company (DARC), a company virtual machine that runs on any EVM-compatible blockchain, with on-chain law system, multi-level tokens and dividends mechanism.

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distro

Unofficial maintenance repository of Torch7. It supports CUDA10.1, Volta, Turing, Docker https://hub.docker.com/r/nagadomi/torch7

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eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

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full-blockchain-solidity-course-py

Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

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Generate-NFT

Generate-NFT是由B站UP主Philipjhc倾力打造的批量生成NFT的工具

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higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

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loss-landscape

Code for visualizing the loss landscape of neural nets

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manim

Animation engine for explanatory math videos

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mev-inspect-js

A JS port of "mev-inspect-py" optimised for ease of use.

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ODSC2019

Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019

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options_thing

a notebook of my options learning

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READ

AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

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sympy

A computer algebra system written in pure Python

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Understanding-Ethereum-Go-version

Understanding Ethereum: Go-Ethereum Code Analysis|理解以太坊: Go-Ethereum 源码剖析

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VBDA

code for variational information bottleneck for domain adaptation

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videos

Code for the manim-generated scenes used in 3blue1brown videos

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VMA

A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type

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