How to download NLTK corpus manually
NLTK is the most popular package among all NLP packages available for Python. It can be used to solve all kind of basic to advanced level of NLP task. Important …
NLTK is the most popular package among all NLP packages available for Python. It can be used to solve all kind of basic to advanced level of NLP task. Important …
Today while creating a fresh virtual environment I got an error saying: CondaError: An error occurred when loading cached repodata. Thought of sharing the solution of that conda error in …
We all know pip is the most important command while installing, upgrading, or managing any Python library. If you are new to Python you may face “pip is not recognized …
Today I faced one error in Jupyter Notebook saying “500 : Internal Server Error“. I spent lots of time to solve this error. But trust me you will be shocked …
In this post, I will show you how you can save huggingface model locally inside your working directory or custom folder path. If you are looking to save or load …
While downloading TF Hub (Tensorflow Hub) pre-trained model, it saves all files to your cache directory inside C:\ drive. But in practice the model should be inside your working directory. …
If you are working or learning Python then you must use different packages or libraries to develop something new. For some projects sometimes you may need to install multiple packages at once. In this post, we will explore different ways to install multiple packages in Python using pip or without pip.
MiniConda is a package management and installation system for machine learning libraries and tools. It provides and easy way to install and update libraries. In this tutorial, I will show you how to install MiniConda and set up the the best environment for machine learning with little space without losing efficiency.
Are you struggling to install Tensorflow with GPU and jupyter notebook in your windows system? This step by step tutorial will assure you for doing that.
If you are working on deep learning or real-time video processing project using Opencv (like Object Detection, Social Distance detection), you will face lags in the output video (less frame rate per second), you can fix this lag using GPU if your system has NVIDIA GPU (NVIDIA Graphics card). OpenCV library can be used for both CPU and GPU.