nielsdebruin
Follow
Stars
Awesome LLM Books: Curated list of books on Large Language Models
😎 Awesome lists about all kinds of interesting topics
Master programming by recreating your favorite technologies from scratch.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
A Gradle plugin for running the XJC binding compiler to generate JAXB Java source code from XSD schemas
A script to create new yakuake sessions from command-line or '.desktop' files. It allows yakuake to be a better replacement of konsole.
The Book of Statistical Proofs
A new markup-based typesetting system that is powerful and easy to learn.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
My best practice of training large dataset using PyTorch.
Implementations of normalizing flows using python and tensorflow
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Model summary in PyTorch similar to `model.summary()` in Keras
Medical imaging processing for deep learning.
pip install antialiased-cnns to improve stability and accuracy
Visualizer for neural network, deep learning and machine learning models
🐍 Deep Learning Type Inference of Python Function Signatures using their Natural Language Context
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio 🚀
Boilerplate for creating web applications in Go (golang)
Tool to convert VU-Amsterdam timetables to ICS calendar files
🧬 A multiple-genome graph visualizer for the JVM
Breakthrough AI Papers and CODE for Any Industry.
Models and examples built with TensorFlow
Grumpy is a Python to Go source code transcompiler and runtime.