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A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Train…
Compare neural networks by their feature similarity
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
PyTorch implementations of Generative Adversarial Networks.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Understanding Deep Learning - Simon J.D. Prince
Techniques for deep learning with satellite & aerial imagery
Resources of deep learning for mathematical reasoning (DL4MATH).
Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Models"
Differentiable Drawing and Sketching
A script to generate TypeScript interfaces from Python dataclasses, with enum support.
A research toolkit for particle swarm optimization in Python
A living benchmark framework for symbolic regression
Implementation of a Neural Interpreter
A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
Command-line program to download videos from YouTube.com and other video sites
Real numbers, data science and chaos: How to fit any dataset with a single parameter
A complete computer science study plan to become a software engineer.
This repository contains the code for the paper iNALU: Improved Neural Arithmetic Logic Unit