Open-source State-of-the-art TTS model which runs on a CPU 😻
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Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
Automated Penetration Testing Agentic Framework Powered by Large Language Models
Translated😮Python simulated login for some large websites, plus some simple web crawlers. I hope they are helpful to you❤️. If you like it, remember to give it a star🌟
- python
- spiders
- selenium
- twitter-bot
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
TranslatedChatGLM2-6B: An Open Bilingual Chat LLM
- chatglm
- chatglm-6b
- large-language-models
- llm
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
- 3d
- 3d-aigc
- 3d-generation
- image-to-3d
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- agent
- ai
- automation
- data-mining
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Unified framework for building enterprise RAG pipelines with small, specialized models
- parsing
- retrieval-augmented-generation
- agents
- generative-ai-tools
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.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
A Conversational Speech Generation Model
A framework for few-shot evaluation of language models.
- evaluation-framework
- language-model
- transformer
The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.
- text2music
An open source implementation of CLIP.
- deep-learning
- pytorch
- computer-vision
- language-model
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
- database
- edgedb
- high-performance
- edgeql
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A modern and customizable python UI-library based on Tkinter
- python
- ui
- ui-design
- tkinter
Enjoy the magic of Diffusion models!
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
📊 APIs for Web Scraping, Browser Automation, and E2E Testing. CDP Mode & Stealthy Playwright Mode bypass bot-detection/CAPTCHAs.
- python
- selenium-python
- e2e-testing
- seleniumbase