virajbhutada
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A Deep Learning based project for colorizing and restoring old images (and video!)
A curated list of awesome Machine Learning frameworks, libraries and software.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
📝 An awesome Data Science repository to learn and apply for real world problems.
10 Weeks, 20 Lessons, Data Science for All!
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Data science interview questions and answers
Carefully curated resource links for data science in one place
⭐️⭐️⭐️ Awesome Power BI dashboards, visuals, development resources, learning materials and more 🔥🔥🔥
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated an…
This repository will contain many mindmaps for cyber security technologies, methodologies, courses, and certifications in a tree structure to give brief details about them
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
All Algorithms implemented in Python
Contains Company Wise Questions sorted based on Frequency and all time
A collection of simple python mini projects to enhance your python skills
Biotechnology Dendrogram- Circular, Rectangular, Horizontal, Phylogenic Tree making from Binary Data (0,1)
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Evolving a neural network with a genetic algorithm.
Datasets used in Plotly examples and documentation
Automatic Image Analysis of Environmental Barrier Coating Oxide Layers using Machine Learning and Computer Vision
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...