Python package built to ease deep learning on graph, on top of existing DL frameworks.
- deep-learning
- graph-neural-networks
Repository Index
47,133 repositories indexed
313–336 of 1,548 · Most stars
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
A curated list of references for MLOps
- machine-learning
- mlops
- data-science
- engineering
An open source implementation of CLIP.
- deep-learning
- pytorch
- computer-vision
- language-model
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
- audio-driven-talking-face
- cvpr2023
- talking-head
- deep-fake
Open3D: A Modern Library for 3D Data Processing
- mesh-processing
- computer-graphics
- opengl
- cpp
Convert Machine Learning Code Between Frameworks
- python
- tensorflow
- pytorch
- numpy
:memo: Today I Learned
- til
- today-i-learned
- writing
- learn-in-public
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
- blockchain
- chainlink
- ethereum
- javascript
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
Learning operating system development using Linux kernel and Raspberry Pi
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
Nmap - the Network Mapper. Github mirror of official SVN repository.
- c-plus-plus
- lua
- security
- port-scanner
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
Open Machine Learning Compiler Framework
- compiler
- tensor
- deep-learning
- gpu
Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources
- embedded
- embedded-systems
- roadmap
- embedded-software
Bootstrap yourself to write an OS from scratch. A book for self-learner.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
PyTorch code and models for the DINOv2 self-supervised learning method.
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
- machine-learning
- deep-learning
- data-analysis
- data-mining
Translatedmall learning tutorial, with a comprehensive analysis of the architecture, business logic, and key technical points. The mall project (60k+ stars) is an e-commerce system built with currently mainstream technologies. It covers technologies such as SpringBoot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, and MySQL, and uses Docker containerized deployment.
- springboot
- mybatis
- elasticsearch
- rabbitmq
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
- tensorrt
- nvidia
- deep-learning
- inference