akaraspt

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

github-readme-stats

:zap: Dynamically generated stats for your github readmes

nanoGPT

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

Flowise

Drag & drop UI to build your customized LLM flow

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

nn-zero-to-hero

Neural Networks: Zero to Hero

vision_transformer

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

pydub

Manipulate audio with a simple and easy high level interface

cudf

cuDF - GPU DataFrame Library

interpret

Fit interpretable models. Explain blackbox machine learning.

snorkel

A system for quickly generating training data with weak supervision

nnUNet

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

modAL

A modular active learning framework for Python

fairlearn

A Python package to assess and improve fairness of machine learning models.

XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

TotalSegmentator

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

snorkel-tutorials

A collection of tutorials for Snorkel

TransMIL

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

weasel

Weakly Supervised End-to-End Learning (NeurIPS 2021)

TypiClust

Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets

TorchAL

Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

VG-GPLMs

The code repository for EMNLP 2021 paper "Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization".