nik-sm

Python

All Algorithms implemented in Python

mermaid

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nushell

A new type of shell

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

d2

D2 is a modern diagram scripting language that turns text to diagrams.

ruff

An extremely fast Python linter, written in Rust.

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

acwj

A Compiler Writing Journey

shell_gpt

A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.

txtai

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

YouPlot

A command line tool that draw plots on the terminal.

riffusion

Stable diffusion for real-time music generation

picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

examples

Learn to create a desktop app with Python and Qt

OpenHV

An Open Source Pixelart Science-Fiction Real-Time-Strategy game

geomloss

Geometric loss functions between point clouds, images and volumes

EEG-Conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

torch-two-sample

A PyTorch library for two-sample tests

Gamepad

A simple library for getting game controller and joystick inputs into Python in Linux.

Supervised_contrastive_loss_pytorch

Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond

pypi-json-data

Automatically updated pypi API data, available in bulk via git or sqlite

NeurIPS_BEETL

This is the NeurIPS BEETL repository (https://beetl.ai)

Permutation-Equivariant-Seq2Seq

Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for natural language modeling fail when such compositional generalization is required. The main contribution of this paper is to hypothesize that language compositionality is a form of group-equivariance. Based on this hypothesis, we propose a set of tools for constructing equivariant sequence-to-sequence models. Throughout a variety of experiments on the SCAN tasks, we analyze the behavior of existing models under the lens of equivariance, and demonstrate that our equivariant architecture is able to achieve the type compositional generalization required in human language understanding.

residual-pathway-priors

alpha-attenuation

"Target-Related Alpha Attenuation in a Brain-Computer Interface Rapid Serial Visual Presentation Calibration"

kscore

PyTorch reimplementation of code from "Nonparametric Score Estimators" (Yuhao Zhou, Jiaxin Shi, Jun Zhu. https://arxiv.org/abs/2005.10099)