hvdthong

seai

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

coding-interview-university

A complete computer science study plan to become a software engineer.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

ConfidNet

Addressing Failure Prediction by Learning Model Confidence

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

PatchNetTool

ggnn_graph_classification

[UNMAINTAINED] A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) for Graph Classification

ggnn.tensorflow

Tensorflow implementation of Gated Graph Neural Network for Source Code Classification

GNNPapers

Must-read papers on graph neural networks (GNN)

smu.softeng.crossact

Cross-platform activity prediction

translation-model

French-English translator using word embeddings, bi-directional encoder, and decoder with attention

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

Deep-Belief-Network-pytorch

This repository has implementation and tutorial for Deep Belief Network

pwc

This repository is no longer maintained.

BIMPM-pytorch

Re-implementation of BIMPM (Bilateral Multi-Perspective Matching for Natural Language Sentences, Zhiguo Wang et al.) on Pytorch.

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

deeplearning.ai

Some work of Andrew Ng's course on Coursera

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.