465 Open source projects that are alternatives of or similar to Cs224n Winter Together

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

A curated list of awesome awesomeness about artificial intelligence

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Relax! Flux is the ML library that doesn't make you tensor

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Grokking Deep Reinforcement Learning

links to conference publications in graph-based deep learning

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Deep Learning Computer Vision Algorithms for Real-World Use

Tensors and differentiable operations (like TensorFlow) in Rust

Stanford Open Information Extraction made simple!

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Survival analysis with PyTorch

Run TensorFlow models in C++ without installation and without Bazel

Codes for weekly challenges on Deep Learning by Siraj

InceptionTime: Finding AlexNet for Time Series Classification

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Python implementation of soft-DTW.

Machine learning algorithms for many-body quantum systems

The code examples for Music 220A

Machine Learning Practical course repository

Mobile AI Compute Engine Model Zoo

DEPRECATED: Depth Map Estimation from Monocular Images

Brevitas: quantization-aware training in PyTorch

High-quality implementations of standard and SOTA methods on a variety of tasks.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

pytorch 包教不包会

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

A curated list of awesome Distributed Deep Learning resources.

Probabilistic reasoning and statistical analysis in TensorFlow

RLgraph: Modular computation graphs for deep reinforcement learning

Tensorflow implementation of CycleGAN

Interactive Notation for Computational Graphs

High-level batteries-included neural network training library for Pytorch

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Stanford Named Entity Recognizer (NER) - Python Wrapper

Neural network visualization toolkit for keras

Neural networks training pipeline based on PyTorch

🧠 A tool that makes AI easier.

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Example Test Cases for Stanford's Algorithms Coursera Specialization

OCR engine for all the languages

🥕 Evolutionary Neural Networks in JavaScript

How to use TensorLayer

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Machine Learning for Social Science

Plain python implementations of basic machine learning algorithms

Segmentation models with pretrained backbones. PyTorch.

Contains my explorations of TensorFlow 2.x

Keras tutorial for beginners (using TF backend)

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation