Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference
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Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Everything you need to know to build your own RAG application
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Build a modern LLM from scratch. Every line commented. Explained like we are five.
A collection of guides and examples for the Gemma open models from Google.
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
The repository host gives no description.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
This is Andrew NG Coursera Handwritten Notes.
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
TensorFlow 最新官方文档中文版
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Lectures on scientific computing with python, as IPython notebooks.
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
Open Machine Learning course
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Code repository for O'Reilly book
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.