Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
A Framework for Encrypted Machine Learning in TensorFlow
Boosting your Web Services of Deep Learning Applications.
SincNet is a neural architecture for efficiently processing raw audio samples.
pyntcloud is a Python library for working with 3D point clouds.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading...
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which...
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
A collaboratively written review paper on deep learning, genomics, and precision medicine
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app us...
Arbitrary style transfer using TensorFlow.js
Videos, notes and experiments to understand deep learning
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as...
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Scien...
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
An implementation of Performer, a linear attention-based transformer, in Pytorch
Lab materials for the Full Stack Deep Learning Course
TensorFlow 最佳学习资源大全(含课程、书籍、博客、公开课等内容)
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
Data Augmentation For Object Detection
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A curated list of awesome architecture search resources
🏖 Keras Implementation of Painting outside the box
Human Pose estimation with TensorFlow framework
Recent Transformer-based CV and related works.
gradslam is an open source differentiable dense SLAM library for PyTorch
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects...
A List of Data Science/Machine Learning Resources (Mostly Free)
Change Python code while it's running without losing state
An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Samples and Tools for Windows ML.
Notes for Fastai Deep Learning Course
A Graph Neural Network Library in Jax
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.