Popular GitHub Repositories for Kerbal Space Program

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

The Abstraction and Reasoning Corpus

Create ? videos with Stable Diffusion by exploring the latent space and morphing between text prompts

Program learning to play Flappy Bird by machine learning (Neuroevolution)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Large Concept Models: Language modeling in a sentence representation space

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit

A program that provides LLMs with the ability to complete complex tasks using plugins.

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

AI for GNU Image Manipulation Program

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

AIDE: AI-Driven Exploration in the Space of Code. State of the Art machine Learning engineering agents that automates AI R&D.

A 2D space exploration and mining game made with Godot and our AI framework

A Dataset of Python Challenges for AI Research

Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.