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University of Technology Sydney
- Sydney, Australia
- https://he-y.github.io
Highlights
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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
Code for the paper "Language Models are Unsupervised Multitask Learners"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Pytorch implementation of convolutional neural network visualization techniques
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Flops counter for neural networks in pytorch framework
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
A lightweight library for PyTorch training tools and utilities
Automated deep learning algorithms implemented in PyTorch.
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
该系列的目的是让读者可以在基础的pytorch上,不依赖任何其他现成的外部库,从零开始理解并实现一个大语言模型的所有组成部分,以及训练微调代码,因此读者仅需python,pytorch和最基础深度学习背景知识即可。
[CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis