Lists (12)
Starred repositories
Tradingview Lightweight Charts wrapper for Plotly Dash apps
DeepSeek Coder: Let the Code Write Itself
✨✨Latest Advances on Multimodal Large Language Models
a state-of-the-art-level open visual language model | 多模态预训练模型
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. Tensor…
Data and codes for Figures and Table in "Limited Diffusion of Scientific Knowledge Forecasts Collapse"
🍿 A cross-browser library of CSS animations. As easy to use as an easy thing.
A modern animation library for React and JavaScript
GSAP (GreenSock Animation Platform), a JavaScript animation library for the modern web
🤗 Collection of examples on how to train, deploy and monitor HuggingFace models in Google Cloud Vertex AI
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Automatic extraction of relevant features from time series:
AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
An integrated shell for working with the AWS CLI.
Fast and memory-efficient exact attention
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Stock price prediction using a Temporal Fusion Transformer
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Using Transformer deep learning architecture to predict stock prices.