High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
- 3d
- 3d-aigc
- 3d-generation
- image-to-3d
Repository Index
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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.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Unified framework for building enterprise RAG pipelines with small, specialized models
- parsing
- retrieval-augmented-generation
- agents
- generative-ai-tools
Pretrained models for TensorFlow.js
A framework for few-shot evaluation of language models.
- evaluation-framework
- language-model
- transformer
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
- multi-model
- graph-database
- document-database
- key-value
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
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.
High-Resolution Image Synthesis with Latent Diffusion Models
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.
MiMo Code: Where Models and Agents Co-Evolve
PyTorch code and models for the DINOv2 self-supervised learning method.
Enjoy the magic of Diffusion models!
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
- nlp
- embedding
- bert
- ernie
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
- machine-learning
- deep-learning
- deep-neural-networks
- pattern-recognition
📋 A list of open LLMs available for commercial use.
- commercial
- large-language-models
- llm
- llms
A curated list of modern Generative Artificial Intelligence projects and services
Pocket Flow: Codebase to Tutorial