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VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Cross-platform, customizable ML solutions for live and streaming media.
Trace, the New AutoDiff for AI Systems and LLM Agents
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Inference and training library for high-quality TTS models.
PrithivirajDamodaran / beir
Forked from beir-cellar/beirA Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15 diverse IR datasets.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…
Real-time processing and delivery of sentences from a continuous stream of characters or text chunks.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Local AI talk with a custom voice based on Zephyr 7B model. Uses RealtimeSTT with faster_whisper for transcription and RealtimeTTS with Coqui XTTS for synthesis.
A low-latency & high-throughput serving engine for LLMs
An OpenAI API compatible text to speech server using Coqui AI's xtts_v2 and/or piper tts as the backend.
A guidance language for controlling large language models.
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Use GPT-4 to create learning progressions
Open Source Autonomous Software Development System
Low latency JSON generation using LLMs ⚡️
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
Chat Templates for 🤗 HuggingFace Large Language Models
SakanaAI / DiscoPOP
Forked from luchris429/DiscoPOPCode for Discovering Preference Optimization Algorithms with and for Large Language Models