From 6272f84d78847c33a278ab579c15abaa2fbd066f Mon Sep 17 00:00:00 2001 From: devcb13d Date: Wed, 14 Feb 2024 08:17:35 +0530 Subject: [PATCH] Fixed broken links in README --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 0ac07aedb5..1922cc5cac 100644 --- a/README.md +++ b/README.md @@ -97,24 +97,24 @@ pip3 install deeplake Using Deep Lake as a Vector Store for building LLM applications: ### - [Vector Store Quickstart](https://docs.activeloop.ai/quickstart) ### - [Vector Store Getting Started Guide](https://docs.activeloop.ai/getting-started/vector-store) -### - [Using Deep Lake with LangChain](https://docs.activeloop.ai/tutorials/vector-store/deep-lake-vector-store-in-langchain) -### - [Image Similarity Search with Deep Lake](https://docs.activeloop.ai/tutorials/vector-store/image-similarity-search) +### - [Using Deep Lake with LangChain](https://docs.activeloop.ai/example-code/tutorials/vector-store/deep-lake-vector-store-in-langchain) +### - [Image Similarity Search with Deep Lake](https://docs.activeloop.ai/example-code/tutorials/vector-store/image-similarity-search) ### Deep Learning Applications Using Deep Lake for managing data while training Deep Learning models: ### - [Deep Learning Quickstart](https://docs.activeloop.ai/quickstart-dl) ### - [Deep Learning Getting Started Guide](https://docs.activeloop.ai/getting-started/deep-learning) -### - [Tutorials for Training Models](https://docs.activeloop.ai/tutorials/deep-learning/training-models) -### - [Tutorials for Creating Deep Learning Datasets](https://docs.activeloop.ai/tutorials/deep-learning/creating-datasets) -### - [Deep Learning Playbooks](https://docs.activeloop.ai/playbooks/evaluating-model-performance) +### - [Tutorials for Training Models](https://docs.activeloop.ai/example-code/tutorials/deep-learning/training-models) +### - [Tutorials for Creating Deep Learning Datasets](https://docs.activeloop.ai/example-code/tutorials/deep-learning/creating-datasets) +### - [Deep Learning Playbooks](https://docs.activeloop.ai/example-code/playbooks) ## ⚙️ Integrations Deep Lake offers integrations with other tools in order to streamline your deep learning workflows. Current integrations include: * **Model Training** - * Stream data while training thousands of pre-built models using [MMDetection](https://github.com/open-mmlab/mmdetection), a popular open-source object detection toolbox based on PyTorch. Learn more in [this tutorial](https://docs.activeloop.ai/tutorials/training-models/training-models-using-mmdetection). + * Stream data while training thousands of pre-built models using [MMDetection](https://github.com/open-mmlab/mmdetection), a popular open-source object detection toolbox based on PyTorch. Learn more in [this tutorial](https://docs.activeloop.ai/example-code/tutorials/deep-learning/training-models/training-models-using-mmdetection). * **Experiment Tracking** * Track experiments and achieve full model reproducibility using Deep Lake and [Weights & Biases](https://wandb.ai/). Our integration automatically pushes dataset-related information (uri, commit hash, view id) to your W&B runs. Further details are available [in our model-reproducibility playbook](https://docs.activeloop.ai/playbooks/training-reproducibility-with-wandb).