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Adaptive Deep Learning Model Selection On Embedded Systems
Intel's Analog Detailed Router
genetic and neural net optimization for circuit design
Python implementation of Block A* search (class project, Robotics, Spring 2019)
CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution (ECCV 2022)
KLayout Python module as a websockets client
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep learning model zoo with TensorFlow 2.X (& Keras)
A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Applying Deep Q-learning for Global Routing
Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".
Gaussian YOLOv3 (An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)) implementation in Keras and Tensorflow
KLayout Main Sources
LLM training in simple, raw C/CUDA
Official implementation of "Path Planning using Neural A* Search" (ICML-21)
Open Source Computer Vision Library
A comprehensive path-finding library for grid based games
Common used path planning algorithms with animations.
Skill language interpreter
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Simple implementation of the a-star algorithm in Python 🌟
A python maze solver with GUI.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
PyTorch implementation of Bezier simplex fitting
This library contains rectilinear spanning graph construction, finding minimum spanning tree and an implementation of binary search tree
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.