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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
A hardware-aware guide to data structures for system software engineers.
CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA te…
Coding exercises for the Inside@HRT event
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
QuantSC Spring '23 Project
7th place submission for Optiver Realized Volatility Prediction competition on Kaggle
Python sync/async framework for Interactive Brokers API (replaces ib_insync)
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).
A Vector Store written in Go - Supports hybrid retrieval over BM25, Flat, HNSW, IVF, PQ and IVFPQ Index with Quantization, Metadata Filtering, Reranking, Reciprocal Rank Fusion, Soft Deletes, Index…
A high-performance C++ orderbook engine with microsecond-level latency, supporting multiple ordertypes, price-time priority matching and real time data integration from Binance
A quantitative trading system built with Rust.
A curated list of Rust code and resources.
An exabyte-scale, multi-region distributed file system
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Recipes for avoiding bounds checks in Rust, without unsafe!
Python code for "Probabilistic Machine learning" book by Kevin Murphy
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A menagerie of cute implementations of modern typechecking algorithms
High-performance option pricing and volatility modeling library.
scikit-learn: machine learning in Python
Ultra-fast websocket client and server for asyncio