LLM inference in C/C++

AWS Lambda C Runtime

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

State-of-the-Art Text Embeddings

Efficient few-shot learning with Sentence Transformers

Extend existing LLMs way beyond the original training length with constant memory usage, without retraining

Definitions of DDD and fundamental concepts to reduce the learning curve and confusion

Visual Studio Code

Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Volatile: your day-to-day trading companion.

Python client for Finnhub API

Powerful technical charting app/interface in pure Python

Portfolio analytics for quants, written in Python

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Tutorial videos & MQL5 source code to highlight the improvements in MQL5 vs MQL4, providing algorithmic traders the knowledge necessary to transition smoothly between the two.

Tutorial videos, posts, and source code in Python & R to assist algorithmic traders and DARWIN investors in getting up and running with the DARWIN API.

QTPyLib, Pythonic Algorithmic Trading

Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Deep Reinforcement Learning applied to trading