onism

fastbook

The fastai book, published as Jupyter Notebooks

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

Megatron-LM

Ongoing research training transformer models at scale

vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

NYU-DLSP20

NYU Deep Learning Spring 2020

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Text_Classification

Text Classification Algorithms: A Survey

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

awesome-fast-attention

list of efficient attention modules

pytorch-tutorials-examples-and-books

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

py-findpeaks

Overview of the peaks dectection algorithms available in Python

Graph-Bert

Source code of Graph-Bert

sota-music-tagging-models

stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

GRACE

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

electra-pytorch

A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch

UAV-NDFT

[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"

showreel

Source material for the Braneshop Showreel

Disease_gene_prioritization_GCN

PGCN: Disease gene prioritization by disease and gene embedding through GCN

GA-CNN

In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network

pygosemsim

Gene ontology (GO) semantic similarity library for Python

Multi-scan-trajectory-PMBM-filter

Multi-Scan Implementation of the Trajectory Poisson Multi-Bernoulli Mixture Filter

Uncertainty_Modeling

Matlab code and functions for the testing scenarios analysed in "A tutorial on uncertainty modeling for machine reasoning"

NLPMethods2CompareGOterms

Natural language processing methods to compare 2 Gene Ontology terms

pretrain-gnns