PyTorch Masterclass: Part 2 – Deep Learning for Computer Vision with PyTorch
Duration: ~60 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-2
https://t.iss.one/DataScienceM💯
Duration: ~60 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-2
#PyTorch #ComputerVision #CNN #DeepLearning #TransferLearning #CIFAR10 #ImageClassification #DataLoaders #Transforms #ResNet #EfficientNet #PyTorchVision #AI #MachineLearning #ConvolutionalNeuralNetworks #DataAugmentation #PretrainedModels
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 3 – Deep Learning for Natural Language Processing with PyTorch
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-3a
Link B: https://hackmd.io/@husseinsheikho/pytorch-3b
https://t.iss.one/DataScienceM⚠️
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-3a
Link B: https://hackmd.io/@husseinsheikho/pytorch-3b
#PyTorch #NLP #RNN #LSTM #GRU #Transformers #Attention #NaturalLanguageProcessing #TextClassification #SentimentAnalysis #WordEmbeddings #DeepLearning #MachineLearning #AI #SequenceModeling #BERT #GPT #TextProcessing #PyTorchNLP
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 4 – Generative Models with PyTorch
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-4A
Link B: https://hackmd.io/@husseinsheikho/pytorch-4B
https://t.iss.one/DataScienceM🖕
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-4A
Link B: https://hackmd.io/@husseinsheikho/pytorch-4B
#PyTorch #GenerativeAI #GANs #VAEs #DiffusionModels #Autoencoders #TextToImage #DeepLearning #MachineLearning #AI #GenerativeAdversarialNetworks #VariationalAutoencoders #StableDiffusion #DALLE #ImageGeneration #MusicGeneration #AudioSynthesis #LatentSpace #PyTorchGenerative
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 5 – Reinforcement Learning with PyTorch
Duration: ~90 minutes
LINK: https://hackmd.io/@husseinsheikho/pytorch-5
https://t.iss.one/DataScienceM👾
Duration: ~90 minutes
LINK: https://hackmd.io/@husseinsheikho/pytorch-5
#PyTorch #ReinforcementLearning #RL #DeepRL #Qlearning #DQN #PPO #DDPG #MarkovDecisionProcesses #AI #MachineLearning #DeepLearning #ReinforcementLearning #PyTorchRL
https://t.iss.one/DataScienceM
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🔥 Trending Repository: LMCache
📝 Description: Supercharge Your LLM with the Fastest KV Cache Layer
🔗 Repository URL: https://github.com/LMCache/LMCache
🌐 Website: https://lmcache.ai/
📖 Readme: https://github.com/LMCache/LMCache#readme
📊 Statistics:
🌟 Stars: 4.3K stars
👀 Watchers: 24
🍴 Forks: 485 forks
💻 Programming Languages: Python - Cuda - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Supercharge Your LLM with the Fastest KV Cache Layer
🔗 Repository URL: https://github.com/LMCache/LMCache
🌐 Website: https://lmcache.ai/
📖 Readme: https://github.com/LMCache/LMCache#readme
📊 Statistics:
🌟 Stars: 4.3K stars
👀 Watchers: 24
🍴 Forks: 485 forks
💻 Programming Languages: Python - Cuda - Shell
🏷️ Related Topics:
#fast #amd #cuda #inference #pytorch #speed #rocm #kv_cache #llm #vllm
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: supervision
📝 Description: We write your reusable computer vision tools. 💜
🔗 Repository URL: https://github.com/roboflow/supervision
🌐 Website: https://supervision.roboflow.com
📖 Readme: https://github.com/roboflow/supervision#readme
📊 Statistics:
🌟 Stars: 34K stars
👀 Watchers: 211
🍴 Forks: 2.7K forks
💻 Programming Languages: Python
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: We write your reusable computer vision tools. 💜
🔗 Repository URL: https://github.com/roboflow/supervision
🌐 Website: https://supervision.roboflow.com
📖 Readme: https://github.com/roboflow/supervision#readme
📊 Statistics:
🌟 Stars: 34K stars
👀 Watchers: 211
🍴 Forks: 2.7K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#python #tracking #machine_learning #computer_vision #deep_learning #metrics #tensorflow #image_processing #pytorch #video_processing #yolo #classification #coco #object_detection #hacktoberfest #pascal_voc #low_code #instance_segmentation #oriented_bounding_box
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: vllm
📝 Description: A high-throughput and memory-efficient inference and serving engine for LLMs
🔗 Repository URL: https://github.com/vllm-project/vllm
🌐 Website: https://docs.vllm.ai
📖 Readme: https://github.com/vllm-project/vllm#readme
📊 Statistics:
🌟 Stars: 55.5K stars
👀 Watchers: 428
🍴 Forks: 9.4K forks
💻 Programming Languages: Python - Cuda - C++ - Shell - C - CMake
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A high-throughput and memory-efficient inference and serving engine for LLMs
🔗 Repository URL: https://github.com/vllm-project/vllm
🌐 Website: https://docs.vllm.ai
📖 Readme: https://github.com/vllm-project/vllm#readme
📊 Statistics:
🌟 Stars: 55.5K stars
👀 Watchers: 428
🍴 Forks: 9.4K forks
💻 Programming Languages: Python - Cuda - C++ - Shell - C - CMake
🏷️ Related Topics:
#amd #cuda #inference #pytorch #transformer #llama #gpt #rocm #model_serving #tpu #hpu #mlops #xpu #llm #inferentia #llmops #llm_serving #qwen #deepseek #trainium
==================================
🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: LLMs-from-scratch
📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch
🌐 Website: https://amzn.to/4fqvn0D
📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme
📊 Statistics:
🌟 Stars: 64.4K stars
👀 Watchers: 589
🍴 Forks: 9K forks
💻 Programming Languages: Jupyter Notebook - Python
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch
🌐 Website: https://amzn.to/4fqvn0D
📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme
📊 Statistics:
🌟 Stars: 64.4K stars
👀 Watchers: 589
🍴 Forks: 9K forks
💻 Programming Languages: Jupyter Notebook - Python
🏷️ Related Topics:
#python #machine_learning #ai #deep_learning #pytorch #artificial_intelligence #transformer #gpt #language_model #from_scratch #large_language_models #llm #chatgpt
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: LLMs-from-scratch
📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch
🌐 Website: https://amzn.to/4fqvn0D
📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme
📊 Statistics:
🌟 Stars: 68.3K stars
👀 Watchers: 613
🍴 Forks: 9.6K forks
💻 Programming Languages: Jupyter Notebook - Python
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch
🌐 Website: https://amzn.to/4fqvn0D
📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme
📊 Statistics:
🌟 Stars: 68.3K stars
👀 Watchers: 613
🍴 Forks: 9.6K forks
💻 Programming Languages: Jupyter Notebook - Python
🏷️ Related Topics:
#python #machine_learning #ai #deep_learning #pytorch #artificial_intelligence #transformer #gpt #language_model #from_scratch #large_language_models #llm #chatgpt
==================================
🧠 By: https://t.iss.one/DataScienceM
📌 PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch
🗂 Category: DEEP LEARNING
🕒 Date: 2025-11-19 | ⏱️ Read time: 14 min read
Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework.
#PyTorch #MachineLearning #NeuralNetwork #Regression #Python
🗂 Category: DEEP LEARNING
🕒 Date: 2025-11-19 | ⏱️ Read time: 14 min read
Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework.
#PyTorch #MachineLearning #NeuralNetwork #Regression #Python
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📌 Learning Triton One Kernel at a Time: Softmax
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-11-23 | ⏱️ Read time: 10 min read
Explore a step-by-step guide to implementing a fast, readable, and PyTorch-ready softmax kernel with Triton. This tutorial breaks down how to write efficient GPU code for a crucial machine learning function, offering developers practical insights into high-performance computing and AI model optimization.
#Triton #GPUProgramming #PyTorch #MachineLearning
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-11-23 | ⏱️ Read time: 10 min read
Explore a step-by-step guide to implementing a fast, readable, and PyTorch-ready softmax kernel with Triton. This tutorial breaks down how to write efficient GPU code for a crucial machine learning function, offering developers practical insights into high-performance computing and AI model optimization.
#Triton #GPUProgramming #PyTorch #MachineLearning
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