An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)
-
Updated
Nov 17, 2024 - Python
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Transformer for Portfolio Optimization. Applicable to Mid/Low Frequency Trading
A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.
🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning
A Python ctypes binding generator for the awesome C library Raylib.
Python Object Oriented Wrapper for raylib
A reusable machine-learning workflow using DolphinScheduler and Ray AIR.
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Prototype of basic game written in python for university programming course. Powered by raylib. Not compatible with updated raylib bindings for python. Tested on raylib version 4.0.0.3.
Official Repository for the paper: Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Add a description, image, and links to the raylib topic page so that developers can more easily learn about it.
To associate your repository with the raylib topic, visit your repo's landing page and select "manage topics."