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mengbingrock
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🦜🔗 Build context-aware reasoning applications
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 Weeks, 24 Lessons, AI for All!
Google Research
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
QLoRA: Efficient Finetuning of Quantized LLMs
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
A simple tutorial of Variational AutoEncoders with Pytorch
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster…
A plugin for Jupyter Notebook to run CUDA C/C++ code
The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
[CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".