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The University of British Columbia
- Vancouver, BC, Canada
- https://aywi.github.io/
- https://orcid.org/0000-0003-0668-3757
- @ayw0w0
- channel/UCTr22DSjf3cyWOKvmcfPPxg
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📚 Freely available programming books
An opinionated list of Python frameworks, libraries, tools, and resources
🤗 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 feature-rich command-line audio/video downloader
Command-line program to download videos from YouTube.com and other video sites
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch Tutorial for Deep Learning Researchers
The fundamental package for scientific computing with Python.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)