#python #audio_driven_talking_face #dance_generation #end_to_end_filming #long_video_generation #video_diffusion_transformers

Stable Video Infinity (SVI) lets you create videos of any length—from seconds to minutes or infinite—starting from one image and text prompts, with no quality loss, drift, or repetition. It uses error-recycling to fix mistakes automatically, supporting stories, cartoons like Tom & Jerry (up to 10+ minutes), talking heads with audio, dancing from skeletons, and multi-scene films. Everything is open-source with models, scripts, datasets, and ComfyUI workflows on Hugging Face and GitHub—you can download, run demos, or train your own easily. This saves you time and effort for pro filmmaking or fun animations without limits.

https://github.com/vita-epfl/Stable-Video-Infinity

#python

nanochat lets you train your own GPT-2 level LLM—like a basic ChatGPT—for just $73 in 3 hours on an 8xH100 GPU node using the simple speedrun.sh script. It handles tokenization, pretraining, finetuning, evaluation, inference, and a web chat UI in minimal, hackable code. You benefit by easily building, customizing, and chatting with your personal AI on a tiny budget, learning LLM mechanics hands-on without complex setups.

https://github.com/karpathy/nanochat

#python

AI-assisted code review prompts by Linux kernel expert Chris Mason speed up Linux kernel and systemd patch reviews. Install easily with bash scripts, then use slash commands like /kreview or /kdebug in tools like Claude—they auto-load project context, break big diffs into tasks, cut token costs by 40-60%, and catch more bugs. You benefit by reviewing code 30-50% faster, saving money, reducing burnout, and improving quality without replacing human checks. Works with GPT-4, Claude, and more; pairs best with semcode for navigation.

https://github.com/masoncl/review-prompts

#python

Agent Skills are reusable packages of instructions, scripts, and resources that AI agents like Codex can automatically load to complete specific tasks efficiently and consistently. Instead of repeating the same guidance repeatedly, you write a skill once and use it everywhere, which saves time and reduces errors. You can install pre-built skills automatically or create custom ones tailored to your organization's needs, then share them across teams. This modular approach transforms general AI assistants into domain specialists, enabling them to handle complex, specialized workflows reliably without requiring you to provide the same instructions in every conversation.

https://github.com/openai/skills

#python

Claude Code hooks let you control AI coding with 13 events like blocking dangerous tools, validating prompts, adding context, and TTS alerts for tasks. Use UV scripts for secure logging, sub-agents for team workflows (builder/validator), custom outputs, and status lines. This boosts your productivity by preventing errors, automating reviews, enabling parallel agents, and giving full observability for faster, safer shipping.

https://github.com/disler/claude-code-hooks-mastery

#python #abliteration #llm #transformer

Heretic is an automated tool that removes safety restrictions from AI language models while preserving their intelligence and capabilities. It uses advanced mathematical techniques called directional ablation to identify and disable the "refusal mechanisms" that prevent models from answering certain questions. The key benefit is that anyone can use it with a simple command—no technical expertise needed. Unlike manual methods that often damage model quality, Heretic achieves the same level of censorship removal with significantly better preservation of the original model's reasoning abilities, as measured by lower KL divergence scores. This means you get an uncensored model that still thinks clearly and produces high-quality responses.

https://github.com/p-e-w/heretic

#python #agent_skills #ai_agents #antigravity #automation #claude #claude_code #codex #composio #cursor #gemini_cli #mcp #rube #saas #skill #workflow_automation

Claude Skills are customizable workflows that boost productivity on Claude.ai, Claude Code, and API by handling tasks like document editing, code development, data analysis, app automation (emails, Slack, GitHub via Composio's 500+ integrations), and more. Install the connect-apps plugin, add your free Composio API key, and restart to enable real actions across 1000+ apps. This saves time, automates repetitive work, and lets you focus on high-value tasks for faster, consistent results everywhere you use Claude.

https://github.com/ComposioHQ/awesome-claude-skills

#python #ai #claude #gemini #llama #llm #openai

You can access powerful AI language models for free or with trial credits through multiple legitimate platforms. Services like OpenRouter, Google AI Studio, Groq, and Mistral offer free tiers with varying request limits, while others like Fireworks, Baseten, and Inference.net provide trial credits ranging from $1 to $30. These platforms support diverse models including Llama, Gemma, Qwen, and DeepSeek, enabling you to build and test AI applications without upfront costs. The benefit is clear: you can prototype, develop, and deploy AI-powered features while managing your budget effectively, with options to scale up as your needs grow.

https://github.com/cheahjs/free-llm-api-resources

#python #ai_agents #claude #claude_code #claude_marketplace #claude_skills

Claude Skills offers 66 specialized skills and 9 workflows built for full-stack developers, covering languages, frameworks, DevOps, security, and more. Install easily with `/plugin marketplace add jeffallan/claude-skills` then `/plugin install fullstack-dev-skills@jeffallan`. Skills activate automatically for tasks like JWT auth in NestJS or React components, using context engineering and multi-skill combos for complex projects. This boosts your coding speed, ensures best practices, cuts errors, and streamlines full development—from features to deployment—saving hours daily.

https://github.com/Jeffallan/claude-skills

#python

Slime is a high-performance framework for post-training large language models with reinforcement learning (RL). It connects Megatron for fast training and SGLang for data generation, powering top models like GLM-4.7, Qwen3, DeepSeek V3, and Llama 3. You get efficient, flexible RL workflows with customizable data tools, cutting training time and boosting model accuracy for research or production—saving resources while achieving breakthrough results in physics, agents, and code generation.

https://github.com/THUDM/slime

#python

WiFi DensePose uses WiFi signals and AI to detect human poses in real-time without cameras, tracking up to 10 people at 30 FPS with sub-50ms speed. Its Rust version boosts performance 810x faster, adds fall detection, activity tracking, and a disaster module for finding survivors under rubble via vital signs and 3D location. Install easily with `pip install wifi-densepose` for privacy-safe monitoring in homes, fitness, healthcare, or emergencies—saving lives and enhancing security without visual privacy risks.

https://github.com/ruvnet/wifi-densepose