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🔗 GitHub_Link ❇️ Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization Join my chann
🔗 GitHub_Link ❇️ Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Expanding the Horizon for Surround-view 3D Object Detection #ObjectDetection Join my channel: 👇👇👇👇👇👇
🔗 GitHub_Link ❇️ Expanding the Horizon for Surround-view 3D Object Detection #ObjectDetection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Semantic Line Combination Detection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Upda
🔗 GitHub_Link ❇️ Semantic Line Combination Detection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Recursive Video Lane Detection #LaneDetection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelli
🔗 GitHub_Link ❇️ Recursive Video Lane Detection #LaneDetection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning Join my channel: 👇👇👇👇👇👇 https://t.me/Arti
🔗 GitHub_Link ❇️ MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control Join my channel: �
🔗 GitHub_Link ❇️ Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities Join my channel: 👇👇👇👇👇👇 https:
🔗 GitHub_Link ❇️ MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ⚽️ COMPUTER VISION & SPORT ⚽️ Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ TACO: (Topics in Algorithmic COde generation dataset) 💥 Larger scale: TACO includes a training set (25,443
🔗 GitHub_Link ❇️ TACO: (Topics in Algorithmic COde generation dataset) 💥 Larger scale: TACO includes a training set (25,443 problems) and a test set (1,000 problems), making it the largest code generation dataset currently available. 💥 Higher quality: Each problem in the TACO dataset is designed to match a diverse set of solution answers, with answer sizes of up to 1.55M. This ensures that the model is not prone to overfitting during training and validates the effectiveness of evaluation results. 💥 Fine-grained labels: Each problem in the TACO dataset includes fine-grained labels such as task topics, algorithms, skills, and difficulty levels. These labels provide more accurate references for the training and evaluation of code generation models. Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ R2E: Turning any GITHUB Repository into a Programming Agent Environment Join my channel: 👇👇👇👇👇👇 https
🔗 GitHub_Link ❇️ R2E: Turning any GITHUB Repository into a Programming Agent Environment Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Video Loopback for WebUI #webui #LoRA Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ort is an (unofficial) ONNX Runtime 1.17 wrapper for Rust based on the now inactive onnxruntime-rs. ONNX Ru
🔗 GitHub_Link ❇️ ort is an (unofficial) ONNX Runtime 1.17 wrapper for Rust based on the now inactive onnxruntime-rs. ONNX Runtime accelerates ML inference on both CPU & GPU. Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Anyline: A Fast, Accurate, and Detailed Line Detection Preprocessor Join my channel: 👇👇👇👇👇👇 https://t
🔗 GitHub_Link ❇️ Anyline: A Fast, Accurate, and Detailed Line Detection Preprocessor Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ViViD: Video Virtual Try-on using Diffusion Models #Diffusion Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ A Native-PyTorch Library for LLM Fine-tuning #LLMs #FineTuning Join my channel: 👇👇👇👇👇👇 https://t.me/A
🔗 GitHub_Link ❇️ A Native-PyTorch Library for LLM Fine-tuning #LLMs #FineTuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ The Platonic Representation Hypothesis Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask
🔗 GitHub_Link ❇️ ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

MATH-233-LINEAR-ALGEBRA.pdf1.19 MB

🧠📚 𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 𝐈 - 𝐋𝐞𝐜𝐭𝐮𝐫𝐞 𝐍𝐨𝐭𝐞𝐬, 𝐌𝐀𝐓𝐇 𝟐𝟑𝟑 🚀⚡️ - a cool #linearalgebra course by Cesar
🧠📚 𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 𝐈 - 𝐋𝐞𝐜𝐭𝐮𝐫𝐞 𝐍𝐨𝐭𝐞𝐬, 𝐌𝐀𝐓𝐇 𝟐𝟑𝟑 🚀⚡️ - a cool #linearalgebra course by Cesar O. Aguilaron 𝕿𝖆𝖇𝖑𝖊 𝖔𝖋 𝕮𝖔𝖓𝖙𝖊𝖓𝖙𝖘: 🎯 Systems of Linear Equations 🎯 Row Reduction and Echelon Forms 🎯 Vector Equations The Matrix Equation Ax = b 🎯 Homogeneous and Nonhomogeneous Systems 🎯 Linear Independence 🎯 Introduction to Linear Mappings 🎯 Onto, One-to-One, and Standard Matrix 🎯 Matrix Algebra 🎯 Invertible Matrices 🎯 Determinants 🎯 Properties of the Determinant 🎯 Applications of the Determinant 🎯 Vector Spaces 🎯 Linear Maps 🎯 Linear Independence, Bases, and Dimension 🎯 The Rank Theorem 🎯 Coordinate Systems 🎯 Change of Basis 🎯 Inner Products and Orthogonality 🎯 Eigenvalues and Eigenvectors 🎯 The Characteristic Polynomial 🎯 Diagonalization 🎯 Diagonalization of Symmetric Matrices 🎯 The PageRank Algortihm 🎯 Discrete Dynamical Systems

🔗 GitHub_Link ❇️ ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing #Diffusion #LLMs Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates