#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer
You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4].
https://github.com/rasbt/LLMs-from-scratch
#python#apple_silicon#audio_processing#mlx#multimodal#speech_recognition#speech_synthesis#speech_to_text#text_to_speech#transformers
MLX-Audio is a powerful tool for converting text into speech and speech into new audio. It works well on Apple Silicon devices, like M-series chips, making it fast and efficient. You can choose from different languages and voices, and even adjust how fast the speech is. It also includes a web interface where you can see audio in 3D and play your own files. This tool is helpful for making audiobooks, interactive media, and personal projects because it's easy to use and provides high-quality audio quickly.
https://github.com/Blaizzy/mlx-audio
#python#hackintosh#hackintosh_efi#lzhoang2601#lzhoang2801#macos#opencore#opencore_efi#opencoresimplify
OpCore Simplify is a tool that makes it much easier to set up OpenCore EFI for Hackintosh systems by automatically creating the right configuration for your specific hardware. It checks your hardware, adds needed patches and drivers, and builds a ready-to-use EFI folder, saving you time and reducing mistakes. This means you can start installing macOS on your PC with a solid setup, even if you are new to Hackintosh.
https://github.com/lzhoang2801/OpCore-Simplify
#python#documentation#gotchas#interview_questions#pitfalls#python#python_interview_questions#snippets#wats#wtf
Python is a high-level, easy-to-read programming language widely used in many fields like web development, data science, and AI. The "What the f*ck Python?" project helps you understand tricky, surprising Python behaviors through clear examples and explanations. It reveals lesser-known features and common pitfalls, making it easier to write better code and debug problems. By exploring these examples, you can deepen your knowledge of Python’s internals, improve your coding skills, and avoid common mistakes, which benefits both beginners and experienced programmers alike[3].
https://github.com/satwikkansal/wtfpython
#python#agent#agentic_ai#grpo#kimi_ai#llms#lora#qwen#qwen3#reinforcement_learning#rl
ART is a tool that helps you train smart agents for real-world tasks using reinforcement learning, especially with the GRPO method. The standout feature is RULER, which lets you skip the hard work of designing reward functions by using a large language model to automatically score how well your agent is doing—just describe your task, and RULER takes care of the rest. This makes building and improving agents much faster and easier, works for any task, and often performs as well as or better than hand-crafted rewards. You can install ART with a simple command and start training agents right away, even on your own computer or with cloud resources.
https://github.com/OpenPipe/ART
#cplusplus#cpp#hacktoberfest#iot#iot_device#iot_edge#microcontroller#microsoft_for_beginners#python#raspberry_pi#rpi
You can learn the basics of the Internet of Things (IoT) through a free 12-week course with 24 lessons that guide you step-by-step in building real projects like plant monitoring, vehicle tracking, and smart cooking timers. Each lesson includes quizzes, instructions, challenges, and solutions to help you understand sensors, cloud connections, security, and AI on devices. The course uses real hardware or virtual options, making it easy to practice hands-on skills. This project-based learning helps you gain practical IoT knowledge useful for many industries, improving your tech skills and job readiness.
https://github.com/microsoft/IoT-For-Beginners
#python#agent#context_engineering#electron#embedding_models#memory#proactive_ai#python#python3#rag#react#vector_database#vision_language_model
MineContext is a special AI tool that helps you work more efficiently. It collects information from your computer screen and other sources, then uses this data to give you useful insights, summaries, and reminders. This helps you stay organized and focused on important tasks. MineContext is also very private because it stores all your data on your local device, not in the cloud. It's like having a personal assistant that helps you manage your digital life better.
https://github.com/volcengine/MineContext
#python#agentic_ai#agents#ai#ai_agents#realtime#stt#tts#video_agents#video_ai#vision_ai#voice_ai
Vision Agents is an open-source Python framework by Stream to build real-time AI agents that watch video, listen to audio, and respond instantly with low latency under 30ms. It integrates YOLO, Roboflow, OpenAI, Gemini, and 25+ tools for apps like golf coaching, security cameras detecting theft, or phone assistants. Install easily with `uv add vision-agents`, use free Stream credits, and deploy on any video network. You benefit by quickly creating smart video AI for gaming, safety, or coaching without vendor lock-in, saving time and costs on custom builds.
https://github.com/GetStream/Vision-Agents
#python#copyparty#file_server#file_sharing#file_upload_server#ftp_server#nas_frontend#tftp_server#webdav_server
Copyparty is a free, open-source file server that runs on almost any device with Python, letting you share files easily through any web browser or protocols like FTP, WebDAV, and SMB. It supports resumable, fast uploads and downloads, folder zipping, media streaming, and file searching. You can upload by dragging files into the browser, and uploads resume automatically if interrupted. It works on many platforms including Windows, Linux, Mac, Android, and even old browsers or devices. Copyparty is lightweight, flexible, and secure, with features like password protection, file deduplication, and temporary file sharing. This makes it a powerful tool for simple, fast, and versatile file sharing without complex setup.
https://github.com/9001/copyparty
#python#csharp#java#javascript#javascript_applications#mcp#mcp_client#mcp_security#mcp_server#model#model_context_protocol#modelcontextprotocol#python#typescript
You can learn the Model Context Protocol (MCP), a new standard for connecting AI models with applications, through a free, open-source curriculum that includes hands-on coding examples in C#, Java, JavaScript, Python, and TypeScript. The curriculum covers basics, security, building servers and clients, advanced topics, and best practices, with multi-language support and community help via Discord. You can also join MCP Dev Days, a free online event for deep technical learning and networking. This resource helps you quickly gain practical skills to build and integrate AI tools effectively, boosting your development capabilities in AI workflows.
https://github.com/microsoft/mcp-for-beginners
#python#gemini#gemini_ai#gemini_api#gemini_flash#gemini_pro#information_extration#large_language_models#llm#nlp#python#structured_data
**LangExtract** is a free Python library that uses AI models like Gemini to pull structured data—like names, emotions, or meds—from messy text such as reports or books. It links every fact to its exact spot in the original, creates interactive visuals for easy checks, handles huge files fast with chunking and parallel runs, and works with cloud or local models without fine-tuning. You benefit by quickly turning unstructured docs into reliable, organized data for analysis, saving time and boosting accuracy in fields like healthcare or research.
https://github.com/google/langextract
#python#audio#deeplearning#minicpm#python#pytorch#speech#speech_synthesis#text_to_speech#tts#tts_model#voice_cloning
VoxCPM is a free, open-source TTS tool that turns text into realistic speech without tokens, creating expressive audio that matches context and clones voices perfectly from just 3-10 seconds of sample. Download VoxCPM1.5 (800M params) from Hugging Face, install via pip, and use simple Python or CLI commands for fast synthesis (RTF 0.15 on RTX 4090) or fine-tuning your own voices. You benefit by easily making natural audiobooks, podcasts, clones, or apps with pro-quality sound—saving time and costs on voice work.
https://github.com/OpenBMB/VoxCPM