FloydHub Blog Migration Tracker

Total Posts: 83
Status: 🔄 In Progress
Updated: 2025-09-24 15:43

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Post List

Status Title Slug Author Date Jekyll URL Notes
⏳ FloydHub has shut down floydhub-has-shut-down Naren Thiagarajan 2021-08-22    
⏳ NLP Datasets: How good is your deep learning model? nlp-datasets-how-to-train-and-evaluate-your-deep-learning-model Cathal Horan 2020-06-10    
⏳ The Future of AI is Open the-future-of-ai-is-open Alessio Gozzoli 2020-06-02    
⏳ FloydHub Cloud Setup Challenge: Jupyter + TensorFlow in 44 seconds [WR] cloud-setup-challenge-jupyter-tensorflow Alessio Gozzoli 2020-05-12    
⏳ Talking ML and Cloud Transformation at AI-First Companies with @searchguy, aka Antonio Gulli talking-ml-and-cloud-transformation-at-ai-first-companies-with-searchguy-aka-antonio-gulli Alessio Gozzoli 2020-04-03    
⏳ Best Machine Learning Books (Updated for 2020) best-machine-learning-books Alessio Gozzoli 2020-03-05    
⏳ AWS Cost Optimization for ML Infrastructure - EC2 spend aws-cost-optimization-for-ml-infra-ec2 Naren Thiagarajan 2020-02-12    
⏳ Tokenizers: How machines read tokenization-nlp Cathal Horan 2020-01-28    
⏳ Emil’s Story as a Self-Taught AI Researcher emils-story-as-a-self-taught-ai-researcher Alessio Gozzoli 2020-01-20    
⏳ Distilling knowledge from Neural Networks to build smaller and faster models knowledge-distillation Alex Amadori 2019-11-11    
⏳ Naïve Bayes for Machine Learning – From Zero to Hero naive-bayes-for-machine-learning Anand Venkataraman 2019-11-08    
⏳ A Pirate’s Guide to Accuracy, Precision, Recall, and Other Scores a-pirates-guide-to-accuracy-precision-recall-and-other-scores Philip Kiely 2019-10-31    
⏳ Introduction to Adversarial Machine Learning introduction-to-adversarial-machine-learning Arunava Chakraborty 2019-10-16    
⏳ Training Neural Nets: a Hacker’s Perspective training-neural-nets-a-hackers-perspective Sayak Paul 2019-09-20    
⏳ Attention Mechanism attention-mechanism Gabriel Loye 2019-09-16    
⏳ Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know multiprocessing-vs-threading-in-python-what-every-data-scientist-needs-to-know Sumit Ghosh 2019-09-07    
⏳ When Not to Choose the Best NLP Model when-the-best-nlp-model-is-not-the-best-choice Cathal Horan 2019-08-06    
⏳ N-Shot Learning: Learning More with Less Data n-shot-learning Heet Sankesara 2019-08-02    
⏳ Gated Recurrent Unit (GRU) With PyTorch gru-with-pytorch Gabriel Loye 2019-07-22    
⏳ Becoming One With the Data becoming-one-with-the-data Sayak Paul 2019-07-20    
⏳ DIY Data: Web Scraping with Python and BeautifulSoup web-scraping-with-python Philip Kiely 2019-07-08    
⏳ How to plan and execute your ML and DL projects structuring-and-planning-your-machine-learning-project Sayak Paul 2019-07-05    
✅ Statistics for Data Science statistics-for-data-science Anand Venkataraman 2019-06-29 /statistics-for-data-science/ Statistical foundations tutorial
✅ Generative Adversarial Networks - The Story So Far gans-story-so-far Ajay Uppili Arasanipalai 2019-06-21 /gans-story-so-far/ GAN evolution and variants
✅ Long Short-Term Memory: From Zero to Hero with PyTorch long-short-term-memory-from-zero-to-hero-with-pytorch Gabriel Loye 2019-06-15 /long-short-term-memory-from-zero-to-hero-with-pytorch/ LSTM architecture deep dive
✅ Introduction to Genetic Algorithms introduction-to-genetic-algorithms Philip Kiely 2019-06-03 /introduction-to-genetic-algorithms/ Evolutionary optimization tutorial
✅ Using Deep Learning and TensorFlow Object Detection API for Corrosion Detection and Localization localize-and-detect-corrosion-with-tensorflow-object-detection-api Anirban Konar 2019-05-17 /localize-and-detect-corrosion-with-tensorflow-object-detection-api/ Industrial inspection AI
✅ An introduction to Q-Learning: Reinforcement Learning an-introduction-to-q-learning-reinforcement-learning Sayak Paul 2019-05-15 /an-introduction-to-q-learning-reinforcement-learning/ Q-learning fundamentals
✅ How to Build OpenAI’s GPT-2: “The AI That Was Too Dangerous to Release” gpt2 Ajay Uppili Arasanipalai 2019-04-29 /gpt2/ Test post with external images
✅ A Beginner’s Guide on Recurrent Neural Networks with PyTorch a-beginners-guide-on-recurrent-neural-networks-with-pytorch Gabriel Loye 2019-04-29 /a-beginners-guide-on-recurrent-neural-networks-with-pytorch/ RNN basics and implementation
✅ Introduction to K-Means Clustering in Python with scikit-learn introduction-to-k-means-clustering-in-python-with-scikit-learn Sayak Paul 2019-04-26 /introduction-to-k-means-clustering-in-python-with-scikit-learn/ Unsupervised learning tutorial
✅ A Gentle Introduction to Text Summarization in Machine Learning gentle-introduction-to-text-summarization-in-machine-learning Alfrick Opidi 2019-04-16 /gentle-introduction-to-text-summarization-in-machine-learning/ NLP summarization techniques
✅ Introduction to Anomaly Detection in Python introduction-to-anomaly-detection-in-python Sayak Paul 2019-04-05 /introduction-to-anomaly-detection-in-python/ Outlier detection methods
✅ Meta-Reinforcement Learning meta-rl Michaël Trazzi 2019-03-27 /meta-rl/ Learning to learn in RL
✅ Ten trends in Deep learning NLP ten-trends-in-deep-learning-nlp Cathal Horan 2019-03-12 /ten-trends-in-deep-learning-nlp/ NLP research trends 2018
✅ Best Deep Learning Courses: Updated for 2019 best-deep-learning-courses-updated-for-2019 Alessio Gozzoli 2019-03-08 /best-deep-learning-courses-updated-for-2019/ Online learning resources
✅ Best Deep Learning Books: Updated for 2019-2020 best-deep-learning-books-updated-for-2019 Alessio Gozzoli 2019-03-01 /best-deep-learning-books-updated-for-2019/ Essential reading list
✅ Controlling a 2D Robotic Arm with Deep Reinforcement Learning robotic-arm-control-deep-reinforcement-learning Mark Saroufim 2019-02-14 /robotic-arm-control-deep-reinforcement-learning/ Robotics RL application
✅ Recommending Similar Fashion Images with Deep Learning similar-fashion-images James Le 2019-02-07 /similar-fashion-images/ Fashion recommendation system
✅ Building a Toy Self-Driving Car: Part One toy-self-driving-car-part-one Jaison Saji Chacko 2019-02-05 /toy-self-driving-car-part-one/ Autonomous vehicle project
✅ On Building an Instagram Street Art Dataset and Detection Model instagram-street-art Leonard Bogdonoff 2019-01-29 /instagram-street-art/ Social media computer vision
✅ Haggis, Not Haggis: How to build a haggis detection app with TensorFlow, Keras, and FloydHub for Burns Night haggis-not-haggis Euan Wielewski 2019-01-24 /haggis-not-haggis/ Fun food classification project
✅ Inverting Facial Recognition Models inverting-facial-recognition-models Irhum Shafkat 2019-01-23 /inverting-facial-recognition-models/ Privacy and ML security
✅ Using NLP to Automate Customer Support, Part Two automate-customer-support-part-two Cathal Horan 2019-01-17 /automate-customer-support-part-two/ NLP customer service automation
✅ Improving Access to Sexual Health Education in Kenya with Artificial Intelligence improving-access-to-sexual-health-education Charlie Harrington 2019-01-15 /improving-access-to-sexual-health-education/ SophieBot NLP health app
✅ Exploring DNA with Deep Learning exploring-dna-with-deep-learning Charlie Harrington 2019-01-10 /exploring-dna-with-deep-learning/ DNA analysis with CNNs
✅ Teaching Humans How to Teach Computers teaching-humans-how-to-teach-computers Charlie Harrington 2019-01-08 /teaching-humans-how-to-teach-computers/ AI education with Siraj Raval
✅ Using Sentence Embeddings to Automate Customer Support, Part One automate-customer-support-part-one Cathal Horan 2018-12-19 /automate-customer-support-part-one/ Word embeddings for support
✅ Spinning Up a Pong AI With Deep Reinforcement Learning spinning-up-with-deep-reinforcement-learning Michaël Trazzi 2018-12-06 /spinning-up-with-deep-reinforcement-learning/ Deep RL game tutorial
✅ Reading Minds with Deep Learning reading-minds-with-deep-learning Samuel Lynn-Evans 2018-11-29 /reading-minds-with-deep-learning/ Brain-computer interfaces
✅ Generating Classical Music with Neural Networks generating-classical-music-with-neural-networks Charlie Harrington 2018-11-28 /generating-classical-music-with-neural-networks/ Clara LSTM music generator
✅ Recognize relatives using deep learning build-image-classification-app-with-fastai Charlie Harrington 2018-11-21 /build-image-classification-app-with-fastai/ FastAI family classifier
✅ DeOldify: Colorizing and Restoring Old Images and Videos with Deep Learning colorizing-and-restoring-old-images-with-deep-learning Charlie Harrington 2018-11-13 /colorizing-and-restoring-old-images-with-deep-learning/ Advanced image colorization
✅ How to become a FloydHub A.I. Writer write-for-floydhub Charlie Harrington 2018-11-07 /write-for-floydhub/ Guest writing program
✅ Found in translation: Building a language translator from scratch with deep learning language-translator Samuel Lynn-Evans 2018-10-10 /language-translator/ Seq2seq translation tutorial
✅ How to code The Transformer in PyTorch the-transformer-in-pytorch Samuel Lynn-Evans 2018-10-09 /the-transformer-in-pytorch/ Attention mechanism tutorial
✅ Practical Guide to Hyperparameters Optimization for Deep Learning Models guide-to-hyperparameters-search-for-deep-learning-models Alessio Gozzoli 2018-09-05 /guide-to-hyperparameters-search-for-deep-learning-models/ Model tuning best practices
✅ Counting the Crowd at Shake Shack with Deep Learning humans-of-ml-dimitri-roche Charlie Harrington 2018-08-29 /humans-of-ml-dimitri-roche/ Computer vision crowd counting
✅ Asking questions to images with deep learning: a visual-question-answering tutorial asking-questions-to-images-with-deep-learning Somin Wadhwa 2018-08-09 /asking-questions-to-images-with-deep-learning/ VQA accessibility tech
✅ Ten Techniques Learned From fast.ai ten-techniques-from-fast-ai Samuel Lynn-Evans 2018-08-01 /ten-techniques-from-fast-ai/ FastAI best practices
✅ Exploring Computational Creativity with Neural Networks humans-of-ml-kalai-ramea Charlie Harrington 2018-07-30 /humans-of-ml-kalai-ramea/ AI art and creativity research
✅ Revolutionizing the Fashion Industry with Artificial Intelligence humans-of-ml-leanne-luce Charlie Harrington 2018-07-25 /humans-of-ml-leanne-luce/ Fashion tech and wearables
✅ 5 advanced features that save you time on FloydHub advanced-features Naren Thiagarajan 2018-07-03 /advanced-features/ Platform productivity features
✅ Generating Commencement Speeches With Markov Chains markov-chains Charlie Harrington 2018-06-19 /markov-chains/ NLP text generation tutorial
✅ Automate FloydHub with Celery automate-floydhub-with-celery FloydHub 2018-06-11 /automate-floydhub-with-celery/ API automation with Celery
✅ Workspaces on FloydHub workspaces Sai Soundararaj 2018-06-05 /workspaces/ Cloud IDE feature launch
✅ Metrics on FloydHub metrics-on-floydhub Naren Thiagarajan 2018-03-30 /metrics-on-floydhub/ Test post with images
✅ FloydHub for Teams floydhub-for-teams Charlie Harrington 2018-03-13 /floydhub-for-teams/ Team collaboration features
✅ Teaching My Robot With TensorFlow teaching-my-robot-with-tensorflow Charlie Harrington 2018-01-25 /teaching-my-robot-with-tensorflow/ Anki Cozmo robot ML tutorial
✅ Turning Design Mockups Into Code With Deep Learning turning-design-mockups-into-code-with-deep-learning Emil Wallner 2018-01-09 /turning-design-mockups-into-code-with-deep-learning/ pix2code deep learning project
✅ Benchmarking FloydHub instances benchmarking-floydhub-instances Alessio Gozzoli 2017-12-08 /benchmarking-floydhub-instances/ GPU performance comparison
✅ Checkpointing Tutorial for TensorFlow, Keras, and PyTorch checkpointing-tutorial-for-tensorflow-keras-and-pytorch Alessio Gozzoli 2017-11-22 /checkpointing-tutorial-for-tensorflow-keras-and-pytorch/ Model saving and resuming
✅ Creating Datasets from Public URLs creating-datasets-from-public-urls Charlie Harrington 2017-11-04 /creating-datasets-from-public-urls/ Dataset management feature
✅ Generating Six-Pack Abs With TensorFlow pix2pix generating-six-pack-abs-with-tensorflow Naren Thiagarajan 2017-10-18 /generating-six-pack-abs-with-tensorflow/ Fitness motivation with GANs
✅ Colorizing B&W Photos with Neural Networks colorizing-b-w-photos-with-neural-networks Emil Wallner 2017-10-14 /colorizing-b-w-photos-with-neural-networks/ Deep learning colorization tutorial
✅ Building Your First ConvNet building-your-first-convnet Somin Wadhwa 2017-10-05 /building-your-first-convnet/ Beginner CNN tutorial
✅ Restart Jupyter Notebook Workflow restart-jupyter-notebook-workflow Charlie Harrington 2017-09-28 /restart-jupyter-notebook-workflow/ New restart feature
✅ Getting Started with Deep Learning on FloydHub getting-started-with-deep-learning-on-floydhub Somin Wadhwa 2017-09-22 /getting-started-with-deep-learning-on-floydhub/ Beginner’s guide
✅ Coding the History of Deep Learning coding-the-history-of-deep-learning Emil Wallner 2017-09-21 /coding-the-history-of-deep-learning/ Historical deep learning milestones
✅ Should I buy my own GPUs for Deep Learning? should-i-buy-my-own-gpus-for-deep-learning Naren Thiagarajan 2017-09-20 /should-i-buy-my-own-gpus-for-deep-learning/ Hardware vs cloud comparison
✅ My First Weekend of Deep Learning my-first-weekend-of-deep-learning Emil Wallner 2017-09-15 /my-first-weekend-of-deep-learning/ Beginner’s journey story
✅ Hello, README files hello-readme-files Charlie Harrington 2017-09-07 /hello-readme-files/ New README feature launch
✅ Tensorboard on FloydHub tensorboard-on-floydhub Naren Thiagarajan 2017-09-06 /tensorboard-on-floydhub/ Visualization tool integration