Maciej Falkiewicz (macio232)

macio232

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Maciej Falkiewicz's starred repositories

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Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

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cornell-cs5785-2024-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

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resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

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matplotlib-latex-bridge

Functions and shortcuts to create latex-ready images from matplotlib.

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torch-fidelity

High-fidelity performance metrics for generative models in PyTorch

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ANR

Released code for paper: Attention Beats Linear for Fast Implicit Neural Representation Generation. Attention-based localized implicit Neural Representation (ANR)

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paramit

Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs

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corner.py

Make some beautiful corner plots

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Imagenet32_Scripts

Scripts for Imagenet 32 dataset

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penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

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DeepSeek-Math

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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StructuredNNs

Structured Neural Networks

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torchpairwise

Pairwise Metrics for PyTorch

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theseus

A library for differentiable nonlinear optimization

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Mixed-Curvature-GCN

Graph Convolutional Networks on Cartesian products of constant curvature manifolds.

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TorchCP

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

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pytorch-tensor-tracker

Flexibly track outputs and grad-outputs of torch.nn.Module.

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convex-init

Code for Principled Weight Initialisation for Input-Convex Neural Networks

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diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

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gatsbi

GATSBI: Generative Adversarial Training for Simulation-Based Inference

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pymanopt

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

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normalizing-flows

PyTorch implementation of normalizing flow models

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nevergrad

A Python toolbox for performing gradient-free optimization

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torchgfn

A modular, easy to extend GFlowNet library

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AIRS

Artificial Intelligence Research for Science (AIRS)

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PowerInfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

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brevitas

Brevitas: neural network quantization in PyTorch

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stable-diffusion-docker

Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

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