Popular GitHub Repositories for Observation Space

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.

Techniques for deep learning with satellite & aerial imagery

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.

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

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

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

?? List of satellite image training datasets with annotations for computer vision and deep learning

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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

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! ??

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

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

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

State Space Models library in JAX

[ICCV 2023] A latent space for stochastic diffusion models