[ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
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Updated
Jul 9, 2024 - Python
[ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
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Massively Parallel Deep Reinforcement Learning. 🔥
Curated list of methods that focuses on improving the efficiency of diffusion models
Next-Generation Multi-Paradigm Programming Language with Hyper-Fast Compilation Speeds (In development)
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
Simple and efficientive stack model virtual machine.
A performant terminal-based project editor with extensive shortcuts
Filesystem watcher. Works anywhere. Simple, efficient and friendly.
fast and efficient type-safe SDK
Unofficial pytorch implementation of LeanSpeech: The Microsoft Lightweight Speech Synthesis System for Limmits Challenge 2023
An efficient, modular BFT framework to allow for quick development of BFT protocols and their respective fair comparison.
FeBFT is an efficient BFT ordering protocol implementation for Atlas where a group of n = 3f + 1 nodes are responsible for replicating a service, that is usually exposed via a RPC interface. The properties of these systems are such that despite the byzantine failure of (up to) f nodes, the service abstraction will continue operating as normal
Very efficient JSON parsing, writing and accessing library for C++. Currently used in a major Point of Sale application among other projects as the main library for using JSON and XML. Designed to allow use of JSON in C++ in a manner similar to other languages like Javascript and Python. For example int iValue = jDocument["key"]["subKey"]._int();
A curated list of efficient deep learning.
Efficient CBOR and JSON (de)serialization in Scala
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