Experimental integration of multiagent framework SPADE for LLM agents with LangChain, RAG and other perks.

[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

Training and data processing code for Saiga

Portfolio optimization with deep learning.

Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Hands-on Deep Reinforcement Learning, published by Packt

FinRL®: Financial Reinforcement Learning. 🔥

Optimization based style transfer

Pytorch implementation of Pointer Network

An implementation of masked language modeling for Pytorch, made as concise and simple as possible

Investment tools

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

Open Machine Learning Course

Generating music using various approaches.

Feed forward neural net examples to learn spiral problem like playground.tensorflow.org (tensorflow, pytorch, numpy)

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 Advers…

Competition baseline for "Rosbank" challenge at boosters.pro