heamabc
Interested in Quantitative Finance/ Machine Learning/ Software Engineering. Feel free to contact me via email!!!! takhei611@gmail.com
Hong Kong
heamabc's Stars
chrissy-dev/vanilla-calendar
A calendar written in JavaScript with zero dependencies
xyflow/xyflow
React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable.
dubinc/dub
Open-source link management infrastructure. Loved by modern marketing teams like Vercel, Raycast, and Perplexity.
datainsightat/introduction_llm
Explore the world of Large Language Models (LLMs) with this introductory repository. Learn about LLM architectures, pre-training, fine-tuning techniques, popular models, and their applications. Delve into their limitations and ethical considerations using hands-on Jupyter notebooks.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
frankiefab100/Blockchain-Development-Resources
The contents of this repository will help you launch a career in Blockchain development. How to deploy Smart contracts on Ethereum, build DApps, DeFi, DAO, NFT and Token protocol.
Consensys/smart-contract-best-practices
A guide to smart contract security best practices
eric19960304/vvs-finance-profit-simulator
Script to find the best harvest interval for VVS Finance.
sherminvo/TokenEconomyBook
How the Web3 reinvents the Internet - Copyleft 2020, Shermin Voshmgir: Creative Commons – CC BY-NC-SA
bellyfat/mm-algo-prototype
Prototype of delta neutral market making strategy trading the BTCUSD perpetuals on Bybit and Binance.
BitMEX/sample-market-maker
Sample BitMEX Market Making Bot
ccxt/ccxt
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
microsoft/c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
kjw0612/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
yanshengjia/ml-road
Machine Learning Resources, Practice and Research
L1aoXingyu/pytorch-beginner
pytorch tutorial for beginners
nitrain/nitrain
Train AI models efficiently on medical images using any framework
Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
yangmingustb/planning_books_1
记录:规划,决策,机器学习,编程的书籍
jalajthanaki/credit-risk-modelling
Credit Risk analysis by using Python and ML
FinMind/FinMind
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ForrestKnight/open-source-cs
Video discussing this curriculum:
cpp-best-practices/cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
yhilpisch/py4fi
Python for Finance (O'Reilly)