hcmsuper's repositories
Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
izumi-swap
using dex izumi to swap in brownie
puppeteer-with-fingerprints
Anonymous automation via puppeteer with fingerprint replacement technology.
ProxyPool
An Efficient ProxyPool with Getter, Tester and Server
atomicals-js-boost
Atomicals CLI and Javascript Library
solidity-expert
4年打磨-2022年海外一线大厂-以太坊开发教程（a solidity tutorial makes you a dapp expert）WIP
Ax
Adaptive Experimentation Platform
av_hubert
A self-supervised learning framework for audio-visual speech
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
WTF-Solidity
我最近在重新学solidity，巩固一下细节，也写一个“WTF Solidity极简入门”，供小白们使用，每周更新1-3讲。官网: https://wtf.academy
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
solmate
Modern, opinionated, and gas optimized building blocks for smart contract development.
openzeppelin-contracts
OpenZeppelin Contracts is a library for secure smart contract development.
full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
httpx
A next generation HTTP client for Python. 🦋
binance-connector-python
a simple connector to Binance Public API
chainlink-mix
Working with smart contracts with eth-brownie, python, and Chainlink.
efinance
efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库，回测以及量化交易的好帮手！🚀🚀🚀
full-blockchain-solidity-course-js
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
zuniswap
UniswapV1 clone made in educational purposes
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
defi-minimal
This repo is dedicated to making minimal repos of existing defi primatives.
Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
SketchBERT
Implementation of Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt.