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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Understanding Deep Learning - Simon J.D. Prince
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Sweep: AI coding assistant for JetBrains
Translated【🔞🔞🔞 Contains images not suitable for minors】AI exploration and summary based on my strengths in programming, drawing, and writing: StableDiffusion is a powerful image generation model that can generate new images by evolving an existing image. ChatGPT is a Transformer-based language generation model that can automatically generate suitable articles for an input topic. And Github Copilot is an intelligent programming assistant that can speed up everyday programming activities.
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
All notes and materials for the CS229: Machine Learning course by Stanford University
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Natural Gradient Boosting for Probabilistic Prediction
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
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CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
A GTFS-based data transit network data standard suitable for dynamic transit modeling.