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Wraps Blockscout APIs and exposes blockchain data by Model Context Protocol
A Beautiful Private and Secure Desktop Investment Tracking Application
Firefly III: a personal finances manager
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
Tiledesk is the open source AI agent builder, written in Node.js and Angular. This repository is dedicated to the WebApp dashboard to manage Tiledesk: open-source alternative to Voiceflow, enabling…
SGLang is a fast serving framework for large language models and vision language models.
Step-by-step optimization of CUDA SGEMM
Collection of simple General Matrix Multiplication - GEMM implementations
Handwriting recognition using Sparkfun Artemis ATP
Summary, Code for Deep Neural Network Quantization
Reducing the size of convolutional neural networks
Hunting Newly Registered Domains
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
This repository contains the source code for the paper First Order Motion Model for Image Animation
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Using Wide Residual Networks to get state-of-the-art results in CIFAR-10 dataset
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Sparse Variational Dropout, ICML 2017
A curated list of awesome packages, articles, and other cool resources from the Scrapy community.
A blog for understanding graph neural network
Implementation for <Deep Hyperspherical Learning> in NIPS'17.
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)