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Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"
Your personal code reviewer powered by LLMs (OpenAI GPT-3.5/4, Llama2, Azure AI) & Embeddings ⚡️ Improve code quality and catch bugs before you break production 🚀
Cryptocurrency Mining Experiments on Google CoLab Notebooks
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
Teach a learning agent in real-time using human interaction and reinforcement learning to complete different tasks.
Deep learning implementation of the Benna-Fusi complex synapse model.
Train neural networks up to 7x faster
Programmable Neural Network Compression
A workbook for investigating constrained neural networks in PyTorch
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Evaluate three types of task shifting with popular continual learning algorithms.
Continual Learning papers list, curated by ContinualAI
A clean and simple data loading library for Continual Learning
Code for our CVPR2021 paper coordinate attention
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Example data and figure generation code for MacDowell and Buschman, Current Biology, 2020.
Hyper optimized contraction trees for large tensor networks and einsums - https://cotengra.readthedocs.io
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf
Co-evolution implementation of critical_evolution. Latest version of my thesis can be found in repository critical_evolution.
Code reproducing the experiments of this paper https://arxiv.org/abs/1704.05255
Convolutional recurrent network in pytorch
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
Contrast Sensitivity function analysis
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
A blockchain that organically orchestrates Proof of Work (PoW) and AI Training computations together
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.