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Name: Jian Meng
Type: User
Company: Cornell University
Location: New York City
Name: Jian Meng
Type: User
Company: Cornell University
Location: New York City
Get more at once: Alternating Sparse Training with Gradient Correction
A curated list of neural network pruning resources.
A Pytorch implementation of BASNN (Yin, BioCAS, 2017)
[NeurIPS'23] Speculative Decoding with Big Little Decoder: Forked for playground purpose
Binarized Neural Network (BNN) for pytorch
Training DNN model with BatchNorm Fusion.
Implementation of CNN from scratch with Pytorch Basic functions
A Domain-Agnostic Benchmark for Self-Supervised Learning with Lightweight model
Low precision floating point training from scratch (Draft version)
Final project of EEE 511 Final project (Spring 2020)
EEE 511 (Spring 2020) - Group assignment
EEE598 Spring 2021 Final Project: Software model
Homework01: MNIST classification challenge with MLP and CNN
Combination of group lasso and quantization
Exploration of hardware efficient efficient training algorithms
Jian Meng's personal web page
Unofficial pytorch-lightning implement of Mip-NeRF
Tutorial for NCHW
Hardware performance for DNN model IMC operation
PyTorch Implementation of POCA: Post Training Quantization of Codec Avatar (ECCV, 2024)
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
POCA: Post-training Quantization with Temporal Alignment for Codec Avatars (ECCV 2024)
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
ResNet quantization & pruning based on (Yang, AAAI2020)
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.