macos Goto Github PK
Type: User
Location: Vienna
Type: User
Location: Vienna
Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
A memory-efficient implementation of DenseNets
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions https://twitter.com/EthereumETL
A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Satellite Image Classification using semantic segmentation methods in deep learning
A fast and frugal tree classifier for sklearn
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
An HTML5 saveAs() FileSaver implementation
interactive analysis of calcium imaging data from larval zebrafish
An intuitive approach to creating deep learning models
[NeurIPS 2022] Official code for "Focal Modulation Networks"
Visualization tool for Graph Neural Networks
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
High-resolution representation learning (HRNets) for Semantic Segmentation
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.
Kaggle DSTL Satellite Imagery Feature Detection
Neural Tensor Network Implementation as a keras layer
Inference code for LLaMA models
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Machine learning algorithms
A simple, extensible Markov chain generator.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Minkowski Engine is an auto-diff library for generalized sparse convolutions and high-dimensional sparse tensors
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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.