GitHub Trends

#other#automl#chatgpt#data_analysis#data_science#data_visualization#data_visualizations#deep_learning#gpt#gpt_3#jax#keras#machine_learning#ml#nlp#python#pytorch#scikit_learn#tensorflow#transformer This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently. https://github.com/ml-tooling/best-of-ml-python

#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

#typescript#ai#chatgpt#copilot#developer_tools#intellij#jetbrains#llm#open_source#openai#pycharm#software_development#visual_studio_code#vscode Continue is a tool that helps developers create and use custom AI assistants for coding. It integrates with popular coding tools like VS Code and JetBrains, offering features like code autocompletion, chat for understanding code, and editing capabilities. This makes coding faster and more efficient, reducing errors and improving software reliability. Users can tailor these AI assistants to their specific needs, making it easier to work with complex codebases and improve overall productivity. https://github.com/continuedev/continue

#typescript#anki#chatgpt#deepseek#electron#evernote#knowledge_base#local_first#markdown#note_taking#notes_app#notion#obsidian#ocr#ollama#openai#pdf#s3#self_hosted#webdav SiYuan is a privacy-first personal knowledge management tool. It allows you to organize your thoughts and notes in a secure way, even offline. You can use features like block-level references, Markdown editing, and mathematical formulas. It also supports AI tools and has apps for Android, iOS, and HarmonyOS. SiYuan is open source and free for most features, making it a great choice for managing your personal knowledge securely. https://github.com/siyuan-note/siyuan

#other#agents#agi#ai#anthropic#artifacts#awesome#awesome_list#bots#chatbot#chatgpt#claude#exploit#gemini#google#gpt#hack#jailbreak#openai#prompts#spam AI tools like autonomous software engineers can help developers by completing tasks independently or working alongside them. This can increase productivity by automating repetitive tasks, allowing developers to focus on more complex and creative work. AI also helps reduce errors and improves code quality, making the development process faster and more efficient. Overall, using AI in software development can lead to better outcomes and more innovative solutions. https://github.com/friuns2/BlackFriday-GPTs-Prompts

#java#anthropic#chatgpt#chroma#embeddings#gemini#gpt#huggingface#java#langchain#llama#milvus#ollama#onnx#openai#openai_api#pgvector#pinecone#vector_database#weaviate LangChain4j helps you add powerful AI to your Java applications by making it easy to use Large Language Models (LLMs). It provides a simple way to switch between different LLMs and embedding stores without needing to learn each one's specific API. This means you can easily experiment with different models and tools, making your development process faster and more flexible. LangChain4j also offers many examples and tools to help you build complex AI applications quickly, such as chatbots and retrieval systems. This simplifies the integration of AI into your projects, allowing you to focus on creating better applications. https://github.com/langchain4j/langchain4j

#typescript#chatgpt#claude#copilot#cursor#developer_tools#editor#llm#open_source#openai#visual_studio_code#vscode#vscode_extension Void is a free, open-source code editor that works like Cursor but gives you more control over your data and lets you use any AI model you want, including ones you run yourself. It’s built on top of VS Code, so you can keep your favorite settings and themes. Void offers features like AI-powered code completion, quick edits, and chat with different AI models, and you can even see and change the prompts the AI uses. This means you can code faster, work privately, and use the latest AI tools without being locked into one provider or worrying about your data being sent elsewhere[1][2][4]. https://github.com/voideditor/void

#other#chatgpt#gpt_3_5#gpt_4#jailbreak#openai#prompt ChatGPT "DAN" (Do Anything Now) and similar jailbreak prompts allow users to bypass standard restrictions, enabling unfiltered responses on any topic, including generating unverified information, explicit content, or harmful instructions. These prompts work by simulating a role-play scenario where the AI ignores ethical guidelines and content policies, providing both restricted and unrestricted answers. The benefit is accessing typically blocked information or creative outputs, though this comes with risks of misinformation and harmful content[1][2][4]. https://github.com/0xk1h0/ChatGPT_DAN