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Nagoya University
- Nagoya Japan
- https://kohonda.github.io/
Highlights
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Stars
Stable Diffusion web UI
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
A generative world for general-purpose robotics & embodied AI learning.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
pix2tex: Using a ViT to convert images of equations into LaTeX code.
An educational resource to help anyone learn deep reinforcement learning.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Implementation of Nougat Neural Optical Understanding for Academic Documents
Common used path planning algorithms with animations.
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
OpenMMLab's next-generation platform for general 3D object detection.
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
A library of reinforcement learning components and agents
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.