High-performance TensorFlow library for quantitative finance. Abstract. Learn Deep Reinforcement Learning in 60 days! Android TensorFlow MachineLearning Example (Building TensorFlow for Android). Face analysis mainly based on Caffe. ), The "Python Machine Learning (3rd edition)" book code repository. Just draw a bounding box and you can remove the object you want to remove. Keras and TensorFlow Keras. Personal Notebooks. Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment. It has around 49,000 stars and 18.4 forks. DeepFaceLab is the leading software for creating deepfakes. Accompanying source code for Machine Learning with TensorFlow. 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. Subscribe to our quarterly newsletter and stay up to date on awesome deep learning projects. The list of projects will be published soon. MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web. DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. It has a comprehensive ecosystem of tools, libraries and community resources that lets researchers create the state-of-the-art in ML. Collection of generative models, e.g. Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic. Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology. DeepMoji is a model trained on 1.2 billion tweets with emojis to draw inferences of how language is used to express emotions. Open Source Neural Machine Translation in Torch (deprecated). Ask any data scientist, and theyll point you towards GitHub. A C library for parsing/normalizing street addresses around the world. Top 50 Awesome Deep Learning Projects GitHub. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search. Features : multiple faces detection, rotation, mouth opening. download the GitHub extension for Visual Studio, https://datawhalechina.github.io/pumpkin-book, https://datawhalechina.github.io/leeml-notes, Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials, reproducible-image-denoising-state-of-the-art, https://maybeshewill-cv.github.io/lanenet-lane-detection/, An Open Source Machine Learning Framework for Everyone, Tensors and Dynamic neural networks in Python with strong GPU acceleration, TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2), Tesseract Open Source OCR Engine (main repository), The world's simplest facial recognition api for Python and the command line. Hummingbird compiles trained ML models into tensor computation for faster inference. A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER). Powered by statistical NLP and open geo data. List of Computer Science courses with video lectures. Generate embeddings from large-scale graph-structured data. Welcome to the applied AI deep-learning team, and to our first project Building a Common Deep Learning Environment!We're excited about the projects we've assembled in this book. Nmap - the Network Mapper. NeuralTalk2. Tensorflow Faster RCNN for Object Detection. Go package for computer vision using OpenCV 4 and beyond. High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Ill give you a hint open source! Tensorflow implementation of DeepFM for CTR prediction. Have a look at the tools others are using, and the resources they are learning from. Gaining advanced insights from Git repository history. Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow. Implementation of Reinforcement Learning Algorithms. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. Introduction. The repository contains the deep learning model along with examples of code snippets, data for training, and tests for evaluating the code. EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019, LSTM and QRNN Language Model Toolkit for PyTorch. DeepLab v3+ model in PyTorch. ZheC/Realtime_Multi-Person_Pose_Estimation, keras_Realtime_Multi-Person_Pose_Estimation, michalfaber/keras_Realtime_Multi-Person_Pose_Estimation. A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. PyTorch original implementation of Cross-lingual Language Model Pretraining. The agents learn on their own for painting like humans. Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP, Training and Detecting Objects with YOLO3, [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy, Awesome-TensorFlow-ChineseTensorFlow QQ167122861AI, Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning), Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet), Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018. However, the design of new, problem specific network topologies is still a time and compute intensive process. , Multimodal Unsupervised Image-to-Image Translation, oneAPI Deep Neural Network Library (oneDNN). Deep Learning Projects For Beginners . Graph Neural Networks with Keras and Tensorflow 2. PyTorch implementation of Super SloMo by Jiang et al. Python, OpenAI Gym, Tensorflow. 2.) Check out below some of the Top 50 Best Deep Learning GitHub Projects repositories with most stars. Snowflake shape is for Deep Learning projects, round for other projects. PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (PyTorch), A Beautiful Open Source RSS & Podcast App Powered by Getstream.io. This is now the official location of the Merlin project. 21-projects-for-deep-learning has 42 repositories available. TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS! Collection of generative models in Pytorch version. Improving Convolutional Networks via Attention Transfer (ICLR 2017), Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet). In the age old question how does one get rich without having to exert oneself, i turned to the stock market. Python wrapper to Philipp Krhenbhl's dense (fully connected) CRFs with gaussian edge potentials. Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations. (Training code to reproduce the original result is available. At this time, face analysis tasks like detection, alignment and recognition have been done. The Painting AI GitHub repository contains a deep reinforcement learning-based model that teaches machines to paint human-painted pictures by using fewer number of strokes. You must be a member to see whos a part of this organization. Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow, A PyTorch Library for Accelerating 3D Deep Learning Research, Software designed to identify and monitor social/historical cues for short term stock movement, Fast Python Collaborative Filtering for Implicit Feedback Datasets, Modularized Implementation of Deep RL Algorithms in PyTorch, TensorFlow binaries supporting AVX, FMA, SSE. A YOLO demo to detect raccoon run entirely in brower is accessible at. Python implementation of TextRank for phrase extraction and summarization of text documents, Infer.NET is a framework for running Bayesian inference in graphical models, An open-source toolbox for action understanding based on PyTorch, State of the Art Natural Language Processing, A community run, 5-day PyTorch Deep Learning Bootcamp. CakeChat: Emotional Generative Dialog System, PyTorch Implementation of Fully Convolutional Networks. The worlds leading tech companies open source their projects on GitHub This list of deep learning project ideas for students is suited for beginners, and those just starting out with ML in general. Awesome work on hand pose estimation/tracking. A high performance implementation of HDBSCAN clustering. Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet, Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019), Reformer, the efficient Transformer, in Pytorch, PyTorch ,ONNX and TensorRT implementation of YOLOv4. Deep Learning Project Ideas: Beginners Level. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. End Notes. Deep Learning Course Project - Gesture Recognition. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. Automatic colorization using deep neural networks. Tutorials, assignments, and competitions for MIT Deep Learning related courses. I hoped by utilizing the power of neural networks and other machine learning techniques new applications to establish theorems that could be shown. Exercises and Solutions to accom. (An implementation of Semantic Style Transfer. At the time of writing this article, Keras is at the top of deep learning projects in Github. Tutorial, Microsoft Machine Learning for Apache Spark, An Industrial Level Federated Learning Framework, Text to image synthesis using thought vectors. Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Data Science projects on Github in python and R. In this article we cover machine learning, deep learning and programming projects. Want to know which are the awesome Top and Best Deep Learning Projects available on Github? The course project is on Github. The diagram below shows the basic architecture of the Fabric for Deep Learning project. Learning Chinese Character style with conditional GAN. At a glance. An open source framework for seq2seq models in PyTorch. Transfer Learning & The Art of using Pre-trained Models in Deep Learning . Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS, Open source person re-identification library in python, A pytorch implementation of Paper "Improved Training of Wasserstein GANs". Visuals contains figures and templates which you can reuse and customize to improve your scientific writing. An Android App where the user can generate a grid of sticker I have provided tutorials, guides and resources after each GitHub project. A simple interface for editing natural photos with generative neural networks. AutoGluon: AutoML Toolkit for Deep Learning, A simplified implemention of Faster R-CNN that replicate performance from origin paper, MITIE: library and tools for information extraction, Minimal and Clean Reinforcement Learning Examples, An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code, A tensorflow implementation of EAST text detector, Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ), Python code for common Machine Learning Algorithms, Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial. Other Deep Learning Projects. Chinese Translation for Machine Learning Infographics, Microsoft Distributed Machine Learning Toolkit. DeepMoji is a deep learning model that can be used for analyzing sentiment, emotion, sarcasm, etc. TF-Agents is a library for Reinforcement Learning in TensorFlow, ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL. Go to the projects folder and see the readme for detailed instructions about the projects. Play couplet with seq2seq model. Deep Learning Specialization by Andrew Ng on Coursera. Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. Whats the best platform for hosting your code, collaborating with team members, and also acts as an online resume to showcase your coding skills? Machine Learning Platform and Recommendation Engine built on Kubernetes, ChainerCV: a Library for Deep Learning in Computer Vision, Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x. (), DEPRECATED and not maintained - see official repo at, PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more, My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) , Uniform Manifold Approximation and Projection, A system for quickly generating training data with weak supervision. Each project must be accompanied with code to a github repository, and with a 2 page report using a fixed template we will provide. The repository contains the deep learning model along with examples of code snippets, data for training, and tests for evaluating the code. TensorFlow is an end-to-end open source platform for machine learning designed by Google. TensorFlow 2.0Open source Deep Learning book, based on TensorFlow 2.0 framework. Deep Learning has been the most revolutionary branch of machine learning in recent years due to its amazing results. List of Machine Learning, AI, NLP solutions for iOS. I have provided tutorials, guides and resources after each GitHub project. A fast, efficient universal vector embedding utility package. A collection of research papers on decision, classification and regression trees with implementations. GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]. HOW TO START LEARNING DEEP LEARNING IN 90 DAYS. text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network, This repo contains the source code in my personal column (, Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services. Learning Convolutional Neural Networks with Interactive Visualization. Image Deblurring using Generative Adversarial Networks, Semantic segmentation on aerial and satellite imagery. Machine Learning Yearning - - Andrew Ng , A Keras implementation of YOLOv3 (Tensorflow backend), tensorflow2(:tensorflow2.0)tag: tensorflow 2.0 tutorials, Simple tutorials using Google's TensorFlow Framework. The Julia Language: A fresh approach to technical computing. TensorFlow powered JavaScript library for training and deploying ML models on Node.js. Primarily this involves developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. End Notes. A Python implementation of LightFM, a hybrid recommendation algorithm. This repository contains mini projects in deep learning with jupyter notebook files. This course teaches full-stack production deep learning: Formulating the problem and estimating project cost. FfDL uses REST APIs to access multiple deep learning libraries. Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way. use cnn recognize captcha by tensorflow. I've enjoyed ever, Google AI 2018 BERT pytorch implementation. Streamlit The fastest way to build data apps in Python, Decensoring Hentai with Deep Neural Networks, StyleGAN - Official TensorFlow Implementation, (Dive into Deep Learning)MXNetPyTorch.

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