Hacker News
- Try Llama-3 in a Colab Notebook https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing 1 comment
- Show HN: Streaming data analysis on Colab with the help of Bokeh https://colab.research.google.com/github/pathwaycom/pathway-examples/blob/main/showcases/live-data-jupyter.ipynb 2 comments
- From Zendesk to ChatGPT: Leveraging Embeddings https://colab.research.google.com/drive/1AAKOA2J2JY_FHNMtrwc1mjdtP0x1AYHs 3 comments
- Show HN: Generate webpage summary images with DALL-E mini https://colab.research.google.com/github/neuml/txtai/blob/master/examples/35_Pictures_are_worth_a_thousand_words.ipynb 25 comments
- Show HN: Think Ahead Chess – A chess variant with n turns of incomplete info https://colab.research.google.com/drive/1t2BaadpGHpKKu7Mu4HGM2ubbKv-nWWnb#scrollTo=NuF_x3UKAmdM 6 comments
- Z3 Tutorial https://colab.research.google.com/github/philzook58/z3_tutorial/blob/master/Z3%20Tutorial.ipynb 31 comments
- Julia on Google TPU: Shakespeare RNN https://colab.research.google.com/github/JuliaTPU/XLA.jl/blob/master/examples/3_LSTM_DistributedTraining.ipynb 38 comments
Lobsters
- AI Art Machine: put in text, get art https://colab.research.google.com/drive/1n_xrgKDlGQcCF6O-eL3NOd_x4NSqAUjK 7 comments ai , art , show
- Best place to buy online compute with 24 GB GPU RAM? [P] https://colab.research.google.com/drive/10r9D04ez1xk0uT5r7dtZsQV8-yNkrHUT#scrollTo=AEygCH7J6l6O 4 comments machinelearning
- [R] The SpeechBrain toolkit version 1.0 is out! https://colab.research.google.com/drive/1IEPfKRuvJRSjoxu22GZhb3czfVHsAy0s?usp=sharing 3 comments machinelearning
- DQL not improving https://colab.research.google.com/drive/1H3VdTwS4vAqHbmCbQ4iZHytvULpi9Lvz?usp=sharing 2 comments reinforcementlearning
- Hikaru - Kramnik chess drama https://colab.research.google.com/drive/1mGSRgrBCQvUGG9R3lWyVOfz_UdnExoVB?usp=sharing 4 comments chess
- I run 10000 simulations of Nakamura's 2023 games. On average, the best winning streak should be 47 games. https://colab.research.google.com/drive/1iXwII8TjT-ACFsJP1r2sUt0s5Mi2vCSL?usp=sharing 114 comments chess
- Function to predict classes for bert model. https://colab.research.google.com/drive/1DWW_hNb-hkBo5lTLxZLCLLwnAH0QXD3Y?usp=sharing 2 comments languagetechnology
- [help] use neovim to edit files at remote - server? https://colab.research.google.com/ 3 comments neovim
- Ways to increase acuracy in deep convolutional network https://colab.research.google.com/drive/1wFhfO5t5BcKmsp6tMBfxAj53VhtzPNhA?usp=share_link 3 comments learnmachinelearning
- Trying to build an RNN to predict NBA player performance based on college stats https://colab.research.google.com/drive/1zEqmgdbRk5-en1LtDPSWynWuBlOTTdBi?usp=sharing 5 comments deeplearning
- Google Colab notebook to transcribe and translate audio with OpenAI's Whisper https://colab.research.google.com/drive/1WLYoBvA3YNKQ0X2lC9udUOmjK7rZgAwr?usp=sharing 6 comments artificial
- Free/open-source AI Text-To-Image Models that can be run on AWS? https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT#scrollTo=wSfISAhyPmyp 6 comments learnmachinelearning
- Fine-tuning BERT for NER with custom label https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/BERT/Custom_Named_Entity_Recognition_with_BERT_only_first_wordpiece.ipynb 4 comments languagetechnology
- [P] Extracting the latent space data from OCT scan images with an auto-encoder https://colab.research.google.com/drive/1FylKdjtBe06wJbNehL9fgT4WxneonO51?usp=sharing 2 comments machinelearning
- [P] I was tired of screenshotting plots in Jupyter to share my results. Wanted something better, information rich. So I built a new %%share magic that freezes a cell, captures its code, output & data and returns a URL for sharing. https://colab.research.google.com/drive/1E5oU6TjH6OocmvEfU-foJfvCTbTfQrqd?usp=sharing#scrollTo=cVxS_6rBmLKW 67 comments machinelearning
- I once gave Python a lot of grief; but now I have to say thank you as the specific programming that Python utilizes helped me build software to Extract EMF waves from photographs to reveal blackholes, and more. https://colab.research.google.com/github/PublicResourceLicense/PublicResourceLicense/blob/main/Collatz_Conclusion.ipynb#scrollTo=Ag-TmuF6hZf9 8 comments python
- [D] Replacing 3x3 convolutions with two 2x2 convolutions https://colab.research.google.com/drive/1mCS_Y5-YQPHkn4Q_05opNig64vfLiUAK?usp=sharing 68 comments machinelearning
- Secret Santa StyleGAN [P] https://colab.research.google.com/drive/1PfI_evHrzCXdPDKm1A5gQDy8xmUTbSrC?usp=sharing 2 comments machinelearning
- Installa PyTorch (con lua) su Google Colab https://colab.research.google.com/drive/1HoJ2qboOanL578Qz_NH3cvV86EfTyhe- 3 comments learnmachinelearning
- What are your thoughts regarding the Google Colab Monthly Plan? https://colab.research.google.com/signup 5 comments datascience
- What am I doing wrong? (CNN) https://colab.research.google.com/drive/1VLTZDmpLM-BCRepqQASBHyczPrV0NkQF?usp=sharing 16 comments deeplearning
- Better AI that remove clothes from images. Better than deepnude https://colab.research.google.com/gist/FirstDee/c3a94ff37e0561e597b65160aabbbc07/dreamtime-v1.ipynb 19 comments deeplearning
- [Q] How would you find the expected outcome of this game? https://colab.research.google.com/drive/1oyH3JNOymgbPQTCUTK5NUq5YwDMP-sp6?usp=sharing 6 comments statistics
- Very confused on how Keras optimization for network with multiple outputs works https://colab.research.google.com/drive/1q0Lvw4p_vxogmAu8QpYn5HRxAojuEtTY?usp=sharing 8 comments learnmachinelearning
- Can somebody help me in my uni project ? https://colab.research.google.com 9 comments julia
- Study on how Effectiveness of Openings changes with Rating https://colab.research.google.com/drive/1t0fsvvtqkyzgtctvnlzygeqmaenzrknr?usp=sharing 11 comments chess
- Bayesian model for highly applied decision making in American football https://colab.research.google.com/drive/1tERuyiN8FwUjn3OP8R6lF8zdkRHH0RJ3?usp=sharing 5 comments math
- Statistically Optimal Covid19 Pool Testing via Dynamic Programming https://colab.research.google.com/drive/1cxqghgrzzljbug5sawernw-vtg6rrbet 3 comments programming
- DD TOOL: Python Unusual Activity Screener https://colab.research.google.com/drive/1cnyERosVMoxo2Q0wT3gWvKnzh85FThNg 173 comments wallstreetbets
- [Q] matrix factorization, why is non-negative required? https://colab.research.google.com/drive/1X0cFGeY2y8D2OLK4VB8frHkVxCMaBS1s 8 comments statistics
- I tried to train a few basic ConvNets on the FashionMNIST dataset and I would appreciate some feedback. https://colab.research.google.com/drive/1xCvrzzYHIQVDkBTcKUCLpSYtQXLcmBCO 13 comments learnmachinelearning
- Out of the box, train your own Question and Answer retrieval model in TF 2.0 with Keras-Bert in Google Colaboratory. Architecture installed from Pip, pre-trained models downloaded / loaded, and example run with sample data. All you have to do is provide your own data in the format specified. https://colab.research.google.com/drive/1gv94blz1dwc9s5or3268noat_v5gtwtm?authuser=6#scrollto=_blokc8ulpyb 8 comments artificial
- A tutorial on the numerical solutions of partial differential equations https://colab.research.google.com/drive/1lij6gueah5nqobefybj7s_jm21iljsoo 13 comments math
- (Jupyter) Notebook Cloud for R ... and with internet access https://colab.research.google.com 13 comments rstats
- Colaboratory is a free Jupyter notebook environment that requires no setup : Google research https://colab.research.google.com/notebooks/welcome.ipynb 6 comments programming
Linking pages
- Local-first software: You own your data, in spite of the cloud https://www.inkandswitch.com/local-first.html 418 comments
- GitHub - jhuangtw/xg2xg: by ex-googlers, for ex-googlers - a lookup table of similar tech & services https://github.com/jhuangtw-dev/xg2xg 240 comments
- GitHub - norvig/pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills. https://github.com/norvig/pytudes 157 comments
- Bard now helps you code https://blog.google/technology/ai/code-with-bard/ 151 comments
- Jupyter receives the ACM Software System Award | by Project Jupyter | Jupyter Blog https://blog.jupyter.org/jupyter-receives-the-acm-software-system-award-d433b0dfe3a2 137 comments
- 5 Ways To Use Python On An iPad https://davidamos.dev/5-ways-to-use-python-on-an-ipad/amp/ 83 comments
- GitHub - ripienaar/free-for-dev: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev https://github.com/ripienaar/free-for-dev 80 comments
- How I became a Software Engineer After 5 Years in Data Science | by Zachary Thomas | Dec, 2022 | Dev Genius https://zachary-thomas.medium.com/how-i-became-a-software-engineer-after-5-years-in-data-science-e0c56b872257 55 comments
- Google launches PaLM 2, its next-gen large language model | TechCrunch https://techcrunch.com/2023/05/10/google-launches-palm-2-its-next-gen-large-language-model/ 52 comments
- Dog Breed Identifier: Full Cycle Development from Keras Program to Android App. on Play Market / Habr https://habr.com/en/post/447732/ 47 comments
- GitHub - someshkar/colabcat: Running Hashcat on Google Colab with session backup and restore. https://github.com/someshkar/colabcat 47 comments
- GitHub - jakevdp/PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks https://github.com/jakevdp/PythonDataScienceHandbook 43 comments
- GitHub - devinpleuler/analytics-handbook: Getting started with soccer analytics https://github.com/devinpleuler/analytics-handbook 43 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- Lessons Learned Reproducing a Deep Reinforcement Learning Paper http://amid.fish/reproducing-deep-rl 37 comments
- How to learn Deep Learning in 6 months | by Bargava | Towards Data Science https://towardsdatascience.com/how-to-learn-deep-learning-in-6-months-e45e40ef7d48 35 comments
- Edge TPU: Hands-On with Google’s Coral USB Accelerator | by Saumya Shovan Roy (Deep) | Heartbeat https://heartbeat.fritz.ai/edge-tpu-google-coral-usb-accelerator-cf0d79c7ec56 32 comments
- How Attractive Are You in the Eyes of Deep Neural Network? | by Dima Shulga | Towards Data Science https://medium.com/@shudima/how-attractive-are-you-in-the-eyes-of-deep-neural-network-3d71c0755ccc 27 comments
- GitHub - graphistry/pygraphistry: PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer https://github.com/graphistry/pygraphistry 27 comments
- How to use Jupyter Notebooks in 2020 (Part 2: Ecosystem growth) https://ljvmiranda921.github.io/notebook/2020/03/16/jupyter-notebooks-in-2020-part-2/ 21 comments