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650 AI Lab
United States
Приєднався 1 гру 2021
"650 AI Lab" is your is your home for "All things AI".
GitHub Repo:
🕹 github.com/prodramp/publiccode
🕹 github.com/prodramp/deepWorks/
🕹 github.com/prodramp/python-projects
🕹 github.com/prodramp/bioramp
Prodramp Inc
📫 prodramp.com | @prodramp | www.linkedin.com/company/prodramp
We Together Ventures
📫 wetogether.vc | @wetogethervc | www.linkedin.com/company/wetogethervc
Content Creator:
😄 Avkash Chauhan (@avkashchauhan)
🌱 www.linkedin.com/in/avkashchauhan
📫 avkashchauhan
🕹 github.com/Avkash
📜 blogs.prodramp.com/
GitHub Repo:
🕹 github.com/prodramp/publiccode
🕹 github.com/prodramp/deepWorks/
🕹 github.com/prodramp/python-projects
🕹 github.com/prodramp/bioramp
Prodramp Inc
📫 prodramp.com | @prodramp | www.linkedin.com/company/prodramp
We Together Ventures
📫 wetogether.vc | @wetogethervc | www.linkedin.com/company/wetogethervc
Content Creator:
😄 Avkash Chauhan (@avkashchauhan)
🌱 www.linkedin.com/in/avkashchauhan
📫 avkashchauhan
🕹 github.com/Avkash
📜 blogs.prodramp.com/
Unscripted Engineering Series: PyCharm IDE Setup (Part 4)
Everything here is unscripted but the thought process is to provide you raw knowledge about how software engineers go on to their work.
This Part 4 videos covers the following:
- Setting up PyCharm (Python IDE)
- Setting up Python Interpreter (Anaconda)
- Various Configuration
- Connecting GitHub cloned public and private repos
#python #anaconda #zshell #developer #programming
#pycharm #unscripted #pythonprogramming #pythondeveloper
#pythontutorial #pythonide
#650ailab #prodramp #avkashchauhan
This Part 4 videos covers the following:
- Setting up PyCharm (Python IDE)
- Setting up Python Interpreter (Anaconda)
- Various Configuration
- Connecting GitHub cloned public and private repos
#python #anaconda #zshell #developer #programming
#pycharm #unscripted #pythonprogramming #pythondeveloper
#pythontutorial #pythonide
#650ailab #prodramp #avkashchauhan
Переглядів: 131
Відео
Unscripted Engineering Series: Mastering Visual Studio Code (Part 3)
Переглядів 129Місяць тому
Everything here is unscripted but the thought process is to provide you raw knowledge about how software engineers go on to their work. This Part 3 videos covers the following: - Setting up Visual Studio Code (Applicable on Linux also) - Installing various Plugins - Configure various aspects of VS Code - Setting GitHub cloned private and public Repos #python #anaconda #zshell #developer #progra...
Unscripted Engineering Series: Mastering GitHub (Part 2)
Переглядів 64Місяць тому
Everything here is unscripted but the thought process is to provide you raw knowledge about how software engineers go on to their work. This Part 2 videos covers the following: - Setting up GitHub - Creating Public and Private Repo - Cloning Repo locally - Managing GitHub Developer Token - Updating GitHub Developer Token - Cloning with GitHub Developer Token #python #anaconda #zshell #developer...
Unscripted Engineering Series: Setting up your development machine (Part 1)
Переглядів 124Місяць тому
Everything here is unscripted but the thought process is to provide you raw knowledge about how software engineers go on to their work. This Part 1 videos covers the following: - Setting up your MacBook (Applicable on Linux also) - Installing Brew - Installing iTerm2 - Installing zshell with iTerm2 - Installing Anaconda - Setup Python using Conda (Anaconda) #python #anaconda #zshell #developer ...
h2ogpt: Another Open-source large language model by H2O.ai team
Переглядів 3,5 тис.Рік тому
Another full open source large language model from H2Oa.o AI team with 12B and 20B parameters, trained on the Pile open-source dataset is released with the following features: - Open-source repository with fully permissive, commercially usable code, data and models - Code for preparing large open-source datasets as instruction datasets for fine-tuning of large language models (LLMs), including ...
StableLM: An Opensource large language model by Stability AI team
Переглядів 959Рік тому
Another full open source large language model from Stability AI team with 3B and 7B parameters, trained on The Pile Datasets and fine tuned on 5 other conversational datasets - Stanford's Alpaca, Nomic-AI's gpt4all, RyokoAI's ShareGPT52K datasets, Databricks labs' Dolly, and Anthropic's HH Video Timeline (00:00) Content Intro (00:35) Introducing StableLM (01:19) StableLM Model Intro (03:03) Qui...
Bringing LLM to the Enterprise (training from scratch or just fine-tune) with Cerebras-GPT
Переглядів 1,6 тис.Рік тому
So you want to utilize LLM for your enterprise and don't know where to get started? This video is exactly for you. In this video you will learn how to utilize Cerebras open-source LLMs for your own enterprise consumption either training from scratch or just fine-tune on your enterprise data and everything around that... Video Timeline (00:00) Content Intro (00:54) Introducing Cerebras-GPT (04:0...
Dreamix - Applying Video Diffusion Models as General Video Editors (AI-fused Video Editing)
Переглядів 527Рік тому
Dreamix: Video Diffusion Models are General Video Editors Dreamix can create videos based on image and text inputs. In this example it is able to instill complex motion in a static image, adding a moving shark and making the turtle swim. In this case, visual fidelity to object location and background was preserved but the turtle direction was flipped. Given a small collection of images showing ...
Instruct-NeRF2NeRF - Combining Diffusion Models with NeRF to create new NeRF Objects
Переглядів 2,6 тис.Рік тому
Instruct-NeRF2NeRF enables instruction-based editing of NeRFs via a 2D diffusion model Resources and Source Code GitHub : - instruct-nerf2nerf.github.io/ - github.com/prodramp/DeepWorks/blob/main/nerf/README.md - github.com/prodramp/DeepWorks/blob/main/nerf/Instruct-NeRFNeRF.md ▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬ - (00:00) Instruct-NeRF2NeRF Introduction - (01:53) 3 Ways to use Instruct-NeRF...
Whiteboarding - Large Language Model (LLM) Tech Stack
Переглядів 1,4 тис.Рік тому
In this white-boarding session you will learn: - LLM In General - LLM Models accessible through API only - Open LLM Models (can be downloaded and hosted) - Summary The screenshots at GitHub: - github.com/prodramp/DeepWorks/blob/main/ChatGPT/Whiteboarding-LLM-TechStack.md Video Timeline (00:00) Content Intro (00:14) LLM Models (02:08) LLM Models from API (08:35) Self hosted LLM (11:05) ChatGLM-6...
Whiteboarding - Let's understand ChatGPT
Переглядів 917Рік тому
In this white-boarding session you will learn: - What is ChatGPT - The Role of GPT - ChatGPT training steps The screenshots at GitHub: - github.com/prodramp/DeepWorks/blob/main/ChatGPT/Whiteboarding-ChatGPT-Intro.md Video Timeline (00:00) Content Intro (00:47) What is ChatGPT? (05:20) Understanding GPT Models (10:24) ChatGPT Training (15:00) Recap Resources - github.com/chroma-core/chroma - git...
Beginners workshop to fine-tune OpenAI LLM model with enterprise web data in Python
Переглядів 4,3 тис.Рік тому
This hands-on workshop shows how to use Langchain LLM application framework with Chroma embedding database to fine-tune an OpenAI GPT-3.5-Turbo LLM model on web data. The final solution returns ChatGPT like interface to your customer web data. You will also learn: - Why it is important to fine-tune LLM models with ad-hoc data - How to use open-source libraries i.e Langchain, ChromaDB The worksh...
Python Gradio UI for Fine-tuning LLM (OpenAI GPT) with Custom Data
Переглядів 4,7 тис.Рік тому
This video is hands-on-lab to create a python application using Gradio UI to fine-tuning OpenAI LLM model with llamaindex (or gpt-index) library. Fine-tuning LLM: LLM can be extended, by fine tuning with custom dataset to provide Q&A, summary and many other ChatGPT like functions. In this video, we are using LlamaIndex (GPT Index) which provides a central interface to connect your LLM's with ex...
Fine Tuning LLM (OpenAI GPT) with Custom Data in python
Переглядів 15 тис.Рік тому
LLM can be extended, by fine tuning with custom dataset to provide Q&A, summary and many other ChatGPT like functions. In this video, we are using LlamaIndex (GPT Index) which provides a central interface to connect your LLM's with external data. Full code discussed in the video can be found here: - github.com/prodramp/DeepWorks/blob/main/ChatGPT/FineTuneLLM.md Video Timeline (00:00) Content In...
Modern and Postmodern Data Stack (Architecture and why you need it?)
Переглядів 389Рік тому
This video discussed the following topics: - Modern Data Stack - What is it? - Postmodern Data Stack - Why you need Postmodern Data Stack Video Timeline (00:00) Content Intro (00:58) Part 1 Review (01:52) Need for MDS (02:18) Moden Data Stack Intro (04:34) Modern Data Stack Features (07:25) Postmodern Data Stack - Why? (11:25) Postmodern Data Stack - Architecture (16:45) Conclusion Please visit...
Data Engineering and Storage Concepts (With ETL, ELT, Warehouse, Lake and Lake House)
Переглядів 591Рік тому
Data Engineering and Storage Concepts (With ETL, ELT, Warehouse, Lake and Lake House)
Develop Successful Deep Learning Projects with this 10 Steps formula
Переглядів 480Рік тому
Develop Successful Deep Learning Projects with this 10 Steps formula
Stability AI plugin for Blender - Create images, texture and animations
Переглядів 3,4 тис.Рік тому
Stability AI plugin for Blender - Create images, texture and animations
Ubuntu 22.04 Kernel (6.2.1) Update with latest Nvidia Display Driver (525.89.02)
Переглядів 4 тис.Рік тому
Ubuntu 22.04 Kernel (6.2.1) Update with latest Nvidia Display Driver (525.89.02)
Nvidia Display Driver (525.89.02) Installation (and update) on Ubuntu 22.04
Переглядів 11 тис.Рік тому
Nvidia Display Driver (525.89.02) Installation (and update) on Ubuntu 22.04
Video to Video Creation with GEN-1 AI Model and the power of Generative AI
Переглядів 616Рік тому
Video to Video Creation with GEN-1 AI Model and the power of Generative AI
Creating Deep Learning study plan with Mindmap using ChatGPT
Переглядів 5 тис.Рік тому
Creating Deep Learning study plan with Mindmap using ChatGPT
Prompt Engineering - Understanding Large Language Models with ChatGPT
Переглядів 3,1 тис.Рік тому
Prompt Engineering - Understanding Large Language Models with ChatGPT
Meet Claude - Anthropic Large Language Model similar to ChatGPT
Переглядів 1,8 тис.Рік тому
Meet Claude - Anthropic Large Language Model similar to ChatGPT
How ChatGPT can improve your career & professional prospects and land a new job?
Переглядів 772Рік тому
How ChatGPT can improve your career & professional prospects and land a new job?
ChatGPT: How to access through Python libraries in your code?
Переглядів 1,4 тис.Рік тому
ChatGPT: How to access through Python libraries in your code?
Beginners Guide to Rust code compilation and debugging in VSCode IDE
Переглядів 11 тис.Рік тому
Beginners Guide to Rust code compilation and debugging in VSCode IDE
ChatGPT on test drive teaching how to learn Rust?
Переглядів 1,1 тис.Рік тому
ChatGPT on test drive teaching how to learn Rust?
Are you sure the open-source React package (from npm) is malicious/risky?
Переглядів 469Рік тому
Are you sure the open-source React package (from npm) is malicious/risky?
Do you know if open-source Python package in your application is malicious/risky?
Переглядів 885Рік тому
Do you know if open-source Python package in your application is malicious/risky?
This series on graph neural networks was awesome. Thanks so much.
Can you create a video explaining how to convert a tabular data set into a graph data set for use with pytorch geometric?
Thank you so much, it was really helpful.
Good job! I am really grateful.
Unfortunately, I find that Whisper AI is just not usable for real life situations because it takes so much time just to transcribe 1-minute mp3 (roughly 1 hour). I also did not run other applications and only run whisper; if I run whisper with other apps Ubuntu goes panic and reboot automatically. Therefore, I cannot accept this and tried to uninstall it and when I tried to uninstall using pip uninstall whisper command, it indicated "Whisper not installed" while whisper is already installed in my machine... I tried so many other ways but still no luck. So, I need to remove the whisper files one-by-one and ensure my machines can start-up smoothly. Until now I don't feel this tool is ready for production and it is a failure project I would say...
try “faster whisper” or “whisper.cpp”。 they are faster
How many more videos do you plan to make sir ?
Welcome back! It's fantastic to see you return after a year - we're excited to dive back into your valuable lessons and can't wait to learn even more from you. Please share more of your incredible knowledge, as your insights have been greatly missed!
Awesome! Thank you so much for nice words.. I hope to share something new to each one of you..
Thank you for doing this. Hope we get to see this series through.
Great masterclass! Greeting's from Chile
How to add break points and debug line by line?
Thanks a lot. Jesus loves you. Please repent and turn away from your sins to obtain eternal salvation and escape eternal damanation.
awesome - thanks
46:00
44:00
Very nice
34:00
15:00
What if I use windows ?
A great introductory video. Thank you sir.
Hello sir, I need to integrate satellite data, Geospatial data like flood point and non flooded point As well ndvi nwdi etc in ML to trained my model Could you please help me out with this
I can't understand why you didn't use ravel function with x while plotting as x is also a set of multidimensional array?
Hello Mr. Avkash, The video is really useful. But, my question is if I have tiff image then how should I go ahead with mask image and labeling? @650AILab I hope I will get answer ASAP.
Walker Lisa Rodriguez Anthony Lopez Frank
Sir I want to detect clouds to satellite images is this tutorial help to achieve this
This was very descriptive, thank you
Thanks. It's pronounced like "cloud." A clever take on cloud computing.
How is each patch made into a feature vector? What is the feature extraction process?
Sir kindly share the weather data with the wildfire, video, Thank you
when use patchify function to execute subset, why you doesn't consider overlap?
It's a really nice full walk through video of Instant NGP, thanks for all your effort! :)
I thought the CUDA toolkit downloads the Driver automatically?
drive.google.com/file/d/1zbzBhjc9AOAjRquVR8ecqRB1LP60ksWL/view?usp=sharing Audio Corrected
The full hands-on coding workshop is exactly what I needed to get started. Thanks for sharing this valuable content!
I want to do multifeature and multiscale high spatial resolution image segmentation is it possible by using U-net
Generally, image channels have three (RGB). If we try to concrete more than two color models, then the channels of the image is more than 3, means 6,9,12...How we can use LIME on more than three-channel images.
I want help in the pie chart I want custom arc link labels how to do that.
If you're running Windows, the path should be something like "C:/Python311/Lib/site-packages/streamlit" and your debugger will work for Streamlit.
This tutorial helped me so much! Thank you!
Sir can u suggest which type of hardware is okay for deep learning rtx ddr4 ram 8gb i7 processor is okay ?or i need more adavanced system
Perfect sir
Is that map works with offline environment ?
Can we also use it to generate text from the tabular data?
hello, I can't understand u9=concatenate([u9,c1],axis=3). why does axis equal 3?
AttributeError: module 'keras.utils' has no attribute 'generic_utils' i always got same error. how to resolve this. when using the same models as you are using.
I believe this issue is regarding the version of keras
Why have not I find you earlier, You are True Gem. Everyone tries to sell themselves on Social Media, but you truly share your experience to help us. Today I am going to get started with your Satelite Imagery Projecr
I have few questions becuase i want to install cuda tool kit 11.7 and pytorch 1.3.x with cuda 11.7: 1 : can I installed cuda tool kit 11.7 with latest version of nvidia drivers 535 in ubuntu 20? 2: for cuda too kit installation , you have installed cuda toolkit twice , one by downloading from nvidia website and one by running command for conda , is it compulsory to install conda based toolkit as well?
when I use you work in my window nvidia 3060 to generate image , I usually meet with the OOM problem,is there way to help? when I use pytorch to do such work, they usually use xformer to release the stress, is it a good way?
Would be amazing to animate nerfs
Estou fazendo uma maratona em seu canal, fantastico ! muito obrigado Avkash Chauhan !
i ama getting problem in helper_plot how i can fix it