BryceMeng/ChinaTextbook
所有小初高、大学PDF教材。
There is only one heroism in the world: to see the world as it is and to love it
Repositories
BryceMeng/andrej-karpathy-skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
BryceMeng/Customer-service-AI-agent
A proof-of-concept showing how to build an AI-powered customer service agent using Claude, MCP tools, and a deterministic state machine to automate refund decisions.
BryceMeng/mlfinlab_research_bryce
BryceMeng/cpp_thread_pool
A c++ thread pool library for class member method
BryceMeng/ProbIoU-Sliced
A CV project for efficient GPU-friendly computation of Probabilistic IoU (ProbIoU) used in object detection. Implements sliced (shard-based) batch processing to handle massive bounding boxes without GPU memory overflow.
BryceMeng/CTX-Translator
Understands word sense by context and idioms naturally. CTX-Translator is a LoRA fine-tuned English-to-Chinese translation model.
BryceMeng/Spatial_Dependency_Probe
A CV project that tests if object detection models can recognize objects based on their relative spatial positions.
BryceMeng/AsyncNMultithread
Source code accompanying a series of articles on asynchronous and multithreaded programming.
BryceMeng/BabelDOC
BabelDoc translates English PDFs into Chinese PDFs using LLMs. I improved the prompt so that when using a local small model, the translation error rate dropped from 30% to 3%.
BryceMeng/brycemeng.github.io
personal website
BryceMeng/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
BryceMeng/mlfinlab_bryce
BryceMeng/arbitrage_research
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
BryceMeng/arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
BryceMeng/FinRL-Tutorials
FinRL® Tutorials. Please star.
BryceMeng/advances-in-financial-ml-notes
BryceMeng/best-of-ml-python
🏆 A ranked list of awesome machine learning python libraries. Updated weekly.
BryceMeng/dominant_contract_switch
Analyze contract switching times in China's commodity markets
BryceMeng/VnpyStudy
Some code was written while learning the VNPY framework
BryceMeng/FinRL-Library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.
BryceMeng/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
BryceMeng/spam-detection-machine-learning
BryceMeng/malware-detection-machine-learning
malware detection using machine learning
BryceMeng/stl_perf
BryceMeng/concurrentqueue
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
BryceMeng/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
BryceMeng/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.
BryceMeng/stockstats
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.