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Implementation of Alphafold 3 in Pytorch
FPS shooter game implemented in C++. Doom3 monsters playable on top of Quake3Arena levels.
A windows centric crash dump framework including exception handling, memory dumps, watchdogs and summary
Simple pytorch implementation of focal loss
A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
A sandbox for humanoid action generation
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
Library hooking assisting tool - dll hooking - was hacked quickly in few hours and while VERY far from being robust was extremely useful. Allows to generate C++ class wrappers quickly, mostly for code injections and reverse engineering tasks.
A fully invertible U-Net for memory efficiency in Pytorch.
OCR project
A quake3arena clone with a board game twist.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Model summary in PyTorch similar to `model.summary()` in Keras
A small package to create visualizations of PyTorch execution graphs
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Sapiens is a human antibody language model based on BERT.
Basic but useful backup tool which I used until I started using dropbox pro.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Computation using data flow graphs for scalable machine learning
low dependencies utilities and helper functions from openfold
Transplant is an easy way of calling Matlab from Python
Intended to be a collection of useful utilities, functions and classes in few languages to make creating new projects easier (for example - iterating on files, loading and saving images, 3d rendering boiler plates, etc.). The point is to prevent rewriting them every time :)
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.