Largest list of models for Core ML (for iOS 11+)
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Largest list of models for Core ML (for iOS 11+)
TranslatedFree proxy node aggregator. Daily updated vmess/vless/trojan/ss. Wall-climbing (bypassing the firewall), ladder (circumvention tool), scientific internet access (circumvention), airport subscriptions (proxy service subscriptions), network acceleration, VPN, no need to climb the wall, one-click import
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
A curated list of Chaos Engineering resources.
Learn AI and LLMs from scratch using free resources
Projects for an undergraduate OS course
Collection of decent Community-made GRUB themes. Contributions welcome!
My notes of Clean Code book
Course materials for Modern Binary Exploitation by RPISEC
A collection of ergonomic split keyboards ⌨
Implement a reasoning LLM in PyTorch from scratch, step by step
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
TranslatedBig screen data visualization demo
TranslatedAwesome Pretrained Chinese NLP Models, a collection of high-quality Chinese pretrained models, large models, multimodal models, and large language models
TranslatedPractical notes on emergency response, the self-cultivation of a security engineer.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
AI coding jargon, explained in plain English.
This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
🍦 A well organized & frequently updated collection of apps that support material you design.
A curated list of all the open-source internships/Programs
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
A computer science textbook
If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.