Aatish Malik’s Post

I removed VS Code. On the Linux VS Code is giving endless flood with SE Linux warnings about blocked access to the places in the Linux where applications are NOT supposed to try do the things. Often VS Code even fails to start. I'm working with Graph Neural Networks these days. It starts going into the research direction already :-D #programming #softwaredevelopment

NEW at PyTorch Conferenece: DL Compiler Mini-Summit: https://hubs.la/Q02LK29K0 Since PyTorch 2’s release, torch.compile() has sparked new ideas in DL compiler design. Leaders behind Triton, TorchInductor, Halide, TVM, IREE + Mojo will discuss building DL compilers + growing their ecosystems. Attend this Mini-Summit for FREE with your PyTorch Conference registration - register today: https://hubs.la/Q02LK1WT0 #PyTorchConf #PyTorch #PyTorchFoundation #AI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux

Will you be with us in San Francisco for PyTorch Conference from September 18-19? This is your chance to meet & exchange ideas with fellow AI innovators & PyTorch trailblazers and shape the world of open source. Be there! Register by July 12 & save US$250: https://hubs.la/Q02ByhdZ0. #PyTorchConf #PyTorch #PyTorchFoundation #AI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux #software

🚀 Excited to share my latest project: AI Virtual Mouse! 🖱️✨ AI Virtual Mouse is an innovative software solution that allows users to control their system using just hand gestures, eliminating the need for a traditional mouse. 👐 Using a simple webcam and advanced image processing techniques, this tool translates your hand movements into mouse inputs, making it a game-changer for accessibility and convenience. 🔍 Key Features: Hand gesture recognition for mouse functions. Control cursor movement, clicks, scrolling, and more using only your hands. Integrates Python libraries like OpenCV, PyAutoGUI, Mediapipe, and TensorFlow for robust performance. Supports various operating systems including Windows, Linux, and macOS. 💡 Tech Stack: OpenCV: For image and video processing. NumPy: Numerical computations for image processing. PyAutoGUI: Controls mouse movements and clicks. Mediapipe: Hand tracking and gesture recognition. Screen-Brightness-Control: Adjusts screen brightness. Comtypes: Access to Windows COM and .NET components. Check out the full project and code details here: https://lnkd.in/dEFkS7V2. hashtag #ArtificialIntelligence #ComputerVision #MachineLearning #Python #AI #TechInnovation #GestureControl #Accessibility #OpenSource #AIResearch #VirtualMouse

11 Science and Math Apps for Linux to Master Your Classes With Old computers can be used as powerful hosts for learning many math, science and AI skills without the steep license costs.

"To forgive is to set a prisoner free and discover that the prisoner was you." Day 11 of the Linux World Summer of Innovation was a day packed with knowledge and learning. It began with a prayer for forgiveness, setting a reflective tone for the day. 🕊️ Linux👨🏻💻: - Mr.Vimal Daga Sir taught us about servers and demonstrated how to run any server🌐 in just three steps: 1. Install the software/package. 2. Setup/configure the server. 3. Execute the server. - We learned to use HTTPD, the Apache HyperText Transfer Protocol (HTTP) server program, to host a server. He also explained the difference between public IPs and private IPs: Private IP: Only accessible by devices connected to the same network. Public IP: Accessible by anyone in the world. Python🐍: -We delved into Object-Oriented Programming (OOP). Sir introduced us to the concept of a class, which is a template or blueprint in OOP. A class defines the structure of an object and organizes data. Functions defined within a class are called methods. Machine Learning🤖: -We explored the concept of Feature Engineering. Sir emphasized that the best way to understand an ML problem is through fieldwork or consulting domain experts. He introduced the equation for simple regression: y = cx, where: y is the goal x is the feature c is the coefficient To find the value of c, we use previous data and a 'Hit and Try' method. Sir's teaching method made these complex concepts easy to grasp. Mobile App Development📱: We started with the basics of Dart. Sir taught us that everything should be enclosed in a function, with main() being the function that is executed automatically. In summary, today's sessions provided us with valuable insights and made complex concepts easy to understand. 📚💡 LinuxWorld Informatics Pvt Ltd #Day11 #beTheCreator #LinuxWorld

Great information related to Data Science as it reminisces my knowledge on computer programming especially the Linear and Logarithmic Regression Analysis where during my postgraduate studies in 1998, Artificial Intelligence was not yet available and need to do complex computer programming using Turbo C/C++ in Linux system. Thanks UniAthena for this insightful course. #DataScience #MachineLearning #DataAnalytics

The latest release of Ollama is out now and includes Nomic embedding. This open-source text embedding model has a context length of 8192 tokens and is said to outperform OpenAI’s Ada-002 embedding model. After taking it for a spin, I must say, I was impressed. Check out the link below to read more about it. #nomicembedding #ai #python #dataengineering #RAG #LLM #Ollama https://lnkd.in/eD6aMg4V

Hey everyone, I wanted to share about this ML course, LLM Zoomcamp , I’m currently taking. As I’m diving deeper into AI, I decided to put it into practice right away on my pet project. I managed to set up AI locally on a Raspberry Pi, deployed Docker, and got Whisper running. It looks awesome, so I’m continuing my journey and planning to create an AI assistant next. #MachineLearning #ArtificialIntelligence #AI #TechProjects #RaspberryPi #Docker #Innovation #Linux

Kohya SS for Stable Diffusion Models!!! Kohya SS a powerful Python library tailored for stable diffusion-based models in image, text, and audio generation tasks. Here's why you should be excited: Purpose: Kohya SS simplifies model training and fine-tuning using cutting-edge techniques like LoRA and SDXL, ensuring optimal performance on consumer-grade GPUs. Gradio GUI: With Kohya SS, training models is easier than ever thanks to its intuitive Gradio GUI. Set parameters, generate CLI commands, and train models seamlessly. Platform Support: Whether you're on Linux or macOS, Kohya SS has got you covered, with robust support and ongoing community contributions. Image Generation: Experience real-time sample image generation during training, empowering you to iterate and improve your models efficiently. Troubleshooting: Kohya SS comes equipped with troubleshooting tips for common issues like page file limits and GPU utilization, ensuring smooth sailing in your ML journey. Learn more: Kohya SS: [https://lnkd.in/dd6i_NGy] Let's revolutionize AI together! #KohyaSS #MachineLearning #StableDiffusion #AIInnovation