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Examples and guides for using the OpenAI API
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Foundational Models for State-of-the-Art Speech and Text Translation
QLoRA: Efficient Finetuning of Quantized LLMs
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
Microsoft Quantum Development Kit Samples
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Bayesian optimization in PyTorch
Automatic Generation of Visualizations and Infographics using Large Language Models
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Solutions of Reinforcement Learning, An Introduction
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
Efficient computing methods developed by Huawei Noah's Ark Lab
Some basic examples of playing with RL
Examples of matplotlib codes and plots
An autonomous AI racecar using NVIDIA Jetson Nano
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
Arm Machine Learning tutorials and examples
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
WeChat Official Accounts, zhihu and CSDN'blog code