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SGLang is a fast serving framework for large language models and vision language models.
A cd command that learns - easily navigate directories from the command line
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A framework for managing and maintaining multi-language pre-commit hooks.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Command line interface for testing internet bandwidth using speedtest.net
A MNIST-like fashion product database. Benchmark 👇
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Large Language Model Text Generation Inference
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Running large language models on a single GPU for throughput-oriented scenarios.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
A Python implementation of global optimization with gaussian processes.
ModelScope: bring the notion of Model-as-a-Service to life.
A faster pytorch implementation of faster r-cnn
Distributed Asynchronous Hyperparameter Optimization in Python
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
定投改变命运 —— 让时间陪你慢慢变富 https://onregularinvesting.com
Efficient Triton Kernels for LLM Training
收集全国各高校招生时不会写明，却会实实在在影响大学生活质量的要求与细节