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Starred repositories
A model compression and acceleration toolbox based on pytorch.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
A pytorch quantization backend for optimum
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers a…
Awesome LLM compression research papers and tools.
You like pytorch? You like micrograd? You love tinygrad! ❤️
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
[ IJCAI-20 ] Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
[ICCV 2021] "From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation" by Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He
《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Master programming by recreating your favorite technologies from scratch.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A curated list of awesome neural radiance fields papers
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch