
Leading deep learning educator. Tutorials and courses on #DeepLearning, #ComputerVision, #LLMs, #GenAI, #OpenCV, #Keras, #TensorFlow, #PyTorch, and many more.
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Joined January 2014
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New tutorial! ๐
YOLO26 Object Detection Tutorial: Benchmarking on macOS
๐ Spot objects. Skip guesswork.
โก YOLO26 from @ultralytics
๐ Python benchmarks vs YOLO12n
pyimg.co/8p0ln ๐
Author: Vikram Singh
#YOLO26 #ComputerVision
New tutorial! ๐
Toward DeepSeek-R1: Building Thinking Models Using GRPO
๐งฎ Math homework meets rewards.
๐ค Qwen3 + @huggingface
๐ ๏ธ Train with GRPOTrainer.
pyimg.co/70rm1 ๐
Author: @puneet2k
#DeepSeek #Qwen3 #GRPO
New tutorial! ๐
DeepSeek-V3 from Scratch: Implementing the DeepSeek Trainer
๐ Train a tiny storyteller!
๐ค @huggingface Trainer
๐ ๏ธ @PyTorch + TinyStories
pyimg.co/u5mv8 ๐
Author: @puneet2k
#DeepSeekV3 #PyTorch
New tutorial! ๐
DeepSeek-V3 from Scratch: Building the Architecture in PyTorch
๐งฉ Model assembly, minus spare parts.
๐ฌ DeepSeek-V3 + @PyTorch
๐ Connect attention and experts.
pyimg.co/36gvk ๐
Author: @puneet2k
#DeepSeek #PyTorch
New tutorial! ๐
Fine-Tuning Gemma 4 with QLoRA for Tool-Aware Support Agents
pyimg.co/0o7r1 ๐
Author: @cosmo3769
#Gemma4 #QLoRA #AIAgents
๐ฆ Order question? Call the tool.
๐ง @GoogleDeepMind Gemma 4 + QLoRA + Bitext.
๐ Train on synthetic tool calls and publish to @huggingface.
New tutorial! ๐
Fine-Tuning Gemma 4 with QLoRA for Customer Support
pyimg.co/1cgmp ๐
Author: @cosmo3769
#Gemma4 #QLoRA #LLM
๐ง Give Gemma 4 a customer support specialty.
๐ง Fine-tune @GoogleDeepMind Gemma 4 model using QLoRA and @huggingface tools.
๐ ๏ธ Train under 1% of the model and save a lightweight adapter.
New tutorial! ๐
DVC Pipelines for MLOps: Build a Reproducible ML Pipeline
๐ Build a reproducible Iris ML pipeline.
๐งฐ @DVCorg tracks every stage.
โก dvc repro reruns only what changed.
pyimg.co/v78x4 ๐
Author: Vikram Singh
#MLOps #DVC
New tutorial! ๐
DVC for MLOps: Versioning Your Data and Models the Right Way
๐ฆ Version data and checkpoints without bloating Git
๐ Pair DVC with @github and @PyTorch Lightning
๐ Build reproducible ML pipelines
pyimg.co/bu1ya ๐
Author: Vikram Singh
#MLOps #DVC
New tutorial! ๐
Train YOLO26 on a Custom Dataset with YOLOE-26 Auto-Labeling
๐ท๏ธ Auto-label and clean a custom dataset.
๐ค Use YOLOE-26 from @ultralytics.
๐น Fine-tune YOLO26 and test it live.
pyimg.co/xrtzy ๐
Author: Vikram Singh
#YOLO26 #YOLOE #AI
New tutorial! ๐
YOLO26 Open-Vocabulary Object Detection with YOLOE-26
pyimg.co/mzpx3 ๐
Author: Vikram Singh
#ComputerVision #ObjectDetection #YOLOE26 #YOLO26 #Ultralytics
๐ฏ Detect beyond a fixed class list with open-vocabulary YOLO.
๐ Explore YOLOE-26 + YOLO26 with @ultralytics using text, visual, and prompt-free inference.
โก Hands-on Python examples included.
New tutorial! ๐
Make a Chrome Extension to Digest Webpages with Manifest V3 and Groq API
pyimg.co/8q9l7 ๐
Author: Vikram Singh
#AI #Groq #ChromeExtension #JavaScript
๐ง Summarize and chat with any webpage
โก Stream LLM responses with @GroqInc
๐ Build it with Manifest V3 + JavaScript
New tutorial! ๐
Scaling, Optimizing, and Exporting Transformers with PyTorch Lightning
pyimg.co/2xntj ๐
Author: Vikram Singh
#PyTorch #PyTorchLightning #Transformers #MLOps #ONNX #DeepLearning #AI #MachineLearning
โก Scale Transformer training with DDP, mixed precision, & gradient accumulation
๐ Export models to ONNX & TorchScript with @PyTorch Lightning + Hydra
๐ Production-ready MLOps with surprisingly little code
New tutorial! ๐
Training with PyTorch Lightning: Structured MLOps Development
pyimg.co/5fe4l ๐
Author: Vikram Singh
#PyTorchLightning #MLOps #PyTorch #AI #MachineLearning #DeepLearning #HuggingFace
๐งฉ Stop wrestling giant training scripts.
โก Build modular ML pipelines with @PyTorch Lightning + Hydra + @huggingface.
๐ Reproducible. Scalable. Production-ready.
New tutorial! ๐
Running Gemma 4 in the Browser with Transformers.js and WebGPU
pyimg.co/gx0fr ๐
Author: @cosmo3769
#AI #Gemma4 #TransformersJS #WebGPU #JavaScript #ONNX #MachineLearning #BrowserAI
๐ Run @GoogleDeepMind Gemma 4 directly in the browser.
๐ค Powered by @huggingface Transformers.js, ONNX Runtime, and WebGPU.
โก Build fast, private multimodal AI apps with no backend server required.








