Some key software tools you may want to use include:

• The Python language.  
• Git and Github, for version control and code sharing.
• Numerical Python (Numpy), for efficient manipulation of matrix data in a pythonic interface .
• Matplotlib, for plotting and visualizing results.
• Scikit-Learn, for standard implementations of machine learning tools in a pythonic interface.
• PyTorch, a deep learning framework.
• JAX, another deep learning framework.
• Weights & Biases, a system for keeping track of your results.
• Google cloud, for computing resources. 

Sources of public neural data:

• The Natural Scenes Dataset.
• The Allen Brain Observatory.
• The Brain-Score platform.