#ml #machinelearningengineer #datascience #python #ai
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Building Together with Laney LA — The Best Practices
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62-YEAR-OLD FEMALE SHEPHERD AND HER WONDERFUL KANGAL DOGS
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Build a RAG Microservice with Python
Build a Demand Forecasting ML App: Python Data Science
🛠️ Using Adam to fine tune a deep learning model with PyTorch [Multimodal Embeddings]
🛠️ Using a transfomers deep learning model [Multimodal Embeddings]
🛠️ Use cases of fune tuning for a deep learning model [Multimodal Embeddings]
🛠️ The importantce of Human observability in ML [Multimodal Embeddings]
🛠️ How to interpret logits as probabilities [Multimodal Embeddings]
🛠️ Fine tuning works like magic [Multimodal Embeddings]
🛠️ Fine tuning a deep learning model for image detection [Multimodal Embeddings]
🛠️ Detecting floods in satellite images with deep learning [Multimodal Embeddings]
Replace your YAML configs with Pydantic
5 Docker tricks for rapid development
🎬 Use cases of Object Detection in video [Multimodal Embeddings]
📉📈 Find peaks in signal with Python and SciPy [Multimodal Embeddings]
🎬 Algorithm for detecting objects in videos with CLIP [Multimodal Embeddings]
🎬 Deep learning with GPU and PyTorch on Macbook [Multimodal Embeddings]
📉📈 Smoothing a timeseries with convolve [Multimodal Embeddings]
🎬 Object detection in video with CLIP [Multimodal Embeddings]
🎬 ML at scale: object detection in video [Multimodal Embeddings]
🎵 Wav2CLIP Audio Embeddings [Multimodal Embeddings]
✏️ Triplet loss for contrastive learning [Multimodal Embeddings]
🎵 Audio visual Embedding Space [Multimodal Embeddings]
🎵 Search audio clips for any image [Multimodal Embeddings]
🎵 Deep learning text search for image+audio [Multimodal Embeddings]