Stars
📚 Freely available programming books
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A high-throughput and memory-efficient inference and serving engine for LLMs
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Best Practices on Recommendation Systems
Open deep learning compiler stack for cpu, gpu and specialized accelerators
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
GitPython is a python library used to interact with Git repositories.
📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉
A PyTorch native platform for training generative AI models
Interactive Image Generation via Generative Adversarial Networks
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Data manipulation and transformation for audio signal processing, powered by PyTorch
Python Jira library. Development chat available on https://matrix.to/#/#pycontribs:matrix.org
Neural Collaborative Filtering
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
FlagGems is an operator library for large language models implemented in the Triton Language.
Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.
repo - The multiple repository tool (also works on MS Windows!)
Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge
Multi-view 3D Models from Single Images with a Convolutional Network
Use caffe to train your own data in just one click
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
This is a python command line client for Atlassian's Jira issue tracker.