jimmywang-jw's starred repositories
LLM-Inference-API-in-Rust
LLM Inference API in Rust. It also has a streamlit app that requests the running API in Rust.
OMSCS-Notes
Notes from various courses in OMSCS program for reference only. For obvious reasons, no non-public coursework or materials exist in this repository.
transformer-walkthrough
A walkthrough of transformer architecture code
llama-cpp-python
Python bindings for llama.cpp
DeepSeek-LLM
DeepSeek LLM: Let there be answers
hands-on-llms
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
ucu-summer-school-2022
Source code for the course "Deep Reinforcement Learning for High-Frequency Trading" held at the Ukrainian Catholic University / Czech Technical University in July 2022.
stock_trend_analysis
Forecasting & Recommender System for the Stock market that leverages information across various sources
alpaca-backtrader-api
Alpaca Trading API integrated with backtrader
Schwab-API-Python
An easy and lightweight wrapper for using the Charles Schwab API.
python-trading-robot
A trading robot, that can submit basic orders in an automated fashion using the TD API.
Talks-Keynotes-slides
My invited Keynote/Talk at Conferences, Universities, Companies, etc.
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.