diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml
index 84c4e03f6..559c798c5 100644
--- a/docs/source/_toctree.yml
+++ b/docs/source/_toctree.yml
@@ -32,9 +32,11 @@
   - local: usage_guides/memory
     title: How to avoid CUDA Out-of-Memory
   - local: usage_guides/sagemaker
-    title: Using Accelerate on SageMaker
+    title: Using 🤗 Accelerate on SageMaker
   - local: usage_guides/mps
     title: How to use Apple Silicon M1 GPUs
+  - local: usage_guides/training_zoo
+    title: 🤗 Accelerate Example Zoo
   title: How-To Guides
 - sections:
   - local: concept_guides/gradient_synchronization
diff --git a/docs/source/usage_guides/training_zoo.mdx b/docs/source/usage_guides/training_zoo.mdx
new file mode 100644
index 000000000..d0510bf93
--- /dev/null
+++ b/docs/source/usage_guides/training_zoo.mdx
@@ -0,0 +1,102 @@
+<!--Copyright 2022 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+-->
+
+# Example Zoo
+
+Below contains a non-exhuastive list of tutorials and scripts showcasing Accelerate
+
+## Official Accelerate Examples:
+
+### Basic Examples
+
+These examples showcase the base features of Accelerate and are a great starting point
+
+- [Barebones NLP example](https://github.com/huggingface/accelerate/blob/main/examples/nlp_example.py)
+- [Barebones computer vision example](https://github.com/huggingface/accelerate/blob/main/examples/cv_example.py)
+
+### Feature Specific Examples
+
+These examples showcase specific features that the Accelerate framework offers
+
+- [Checkpointing states](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/checkpointing.py)
+- [Cross validation](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/cross_validation.py)
+- [DeepSpeed](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/deepspeed_with_config_support.py)
+- [Fully Sharded Data Parallelism](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/fsdp_with_peak_mem_tracking.py)
+- [Gradient accumulation](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/gradient_accumulation.py)
+- [Memory-aware batch size finder](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/memory.py)
+- [Metric Computation](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/multi_process_metrics.py)
+- [Using Trackers](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/tracking.py)
+
+### Full Examples 
+
+These examples showcase every feature in Accelerate at once that was shown in "Feature Specific Examples"
+
+- [Complete NLP example](https://github.com/huggingface/accelerate/blob/main/examples/complete_nlp_example.py)
+- [Complete computer vision example](https://github.com/huggingface/accelerate/blob/main/examples/complete_cv_example.py)
+- [Causal language model fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_clm_no_trainer.py)
+- [Masked language model fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_mlm_no_trainer.py)
+- [Speech pretraining example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/speech-pretraining/run_wav2vec2_pretraining_no_trainer.py)
+- [Translation fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/translation/run_translation_no_trainer.py)
+- [Text classification fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue_no_trainer.py)
+- [Semantic segmentation fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py)
+- [Question answering fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/question-answering/run_qa_no_trainer.py)
+- [Beam search question answering fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py)
+- [Multiple choice question answering fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/multiple-choice/run_swag_no_trainer.py)
+- [Named entity recognition fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/token-classification/run_ner_no_trainer.py)
+- [Image classification fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/image-classification/run_image_classification_no_trainer.py)
+- [Summarization fine-tuning example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/summarization/run_summarization_no_trainer.py)
+
+## Integration Examples 
+
+These are tutorials from libraries that integrate with 🤗 Accelerate: 
+
+### Catalyst
+
+- [Distributed training tutorial with Catalyst](https://catalyst-team.github.io/catalyst/tutorials/ddp.html)
+
+### DALLE2-pytorch 
+
+- [Fine-tuning DALLE2](https://github.com/lucidrains/DALLE2-pytorch#usage)
+
+### 🤗 diffusers
+
+- [Performing textual inversion with diffusers](https://github.com/huggingface/diffusers/tree/main/examples/textual_inversion)
+- [Training DreamBooth with diffusers](https://github.com/huggingface/diffusers/tree/main/examples/dreambooth)
+
+### fastai 
+
+- [Distributed training from Jupyter Notebooks with fastai](https://docs.fast.ai/tutorial.distributed.html)
+- [Basic distributed training examples with fastai](https://docs.fast.ai/examples/distributed_app_examples.html)
+
+### GradsFlow
+
+- [Auto Image Classification with GradsFlow](https://docs.gradsflow.com/en/latest/examples/nbs/01-ImageClassification/)
+
+### imagen-pytorch 
+
+- [Fine-tuning Imagen](https://github.com/lucidrains/imagen-pytorch#usage)
+
+### Kornia
+
+- [Fine-tuning vision models with Kornia's Trainer](https://kornia.readthedocs.io/en/latest/get-started/training.html)
+
+### PyTorch Accelerated 
+
+- [Quickstart distributed training tutorial with PyTorch Accelerated](https://pytorch-accelerated.readthedocs.io/en/latest/quickstart.html)
+
+### PyTorch3D
+
+- [Perform Deep Learning with 3D data](https://pytorch3d.org/tutorials/)
+
+### Tez 
+
+- [Leaf disease detection with Tez and Accelerate](https://www.kaggle.com/code/abhishek/tez-faster-and-easier-training-for-leaf-detection/notebook)



Discussion: body: _The documentation is not available anymore as the PR was closed or merged._